svn commit: r1037768 [7/13] - in /websites/production/commons/content/proper/commons-rng: ./ commons-rng-client-api/ commons-rng-core/ commons-rng-core/jacoco-aggregate/ commons-rng-core/jacoco/ commons-rng-core/jacoco/org.apache.commons.rng.core.sourc...

Wed, 12 Dec 2018 15:06:46 -0800 

Modified: 
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/surefire-report.html
==============================================================================
--- 
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/surefire-report.html
 (original)
+++ 
websites/production/commons/content/proper/commons-rng/commons-rng-sampling/surefire-report.html
 Wed Dec 12 23:06:05 2018
@@ -296,7 +296,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>58.984</td></tr></table><br />
+<td>58.224</td></tr></table><br />
 <p>Note: failures are anticipated and checked for with assertions while errors 
are unanticipated.</p><br /></div>
 <div class="section">
 <h2><a name="Package_List"></a>Package List</h2><a name="Package_List"></a>
@@ -317,7 +317,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>2.742</td></tr>
+<td>2.662</td></tr>
 <tr class="a">
 <td><a 
href="#org.apache.commons.rng.sampling.distribution">org.apache.commons.rng.sampling.distribution</a></td>
 <td>85</td>
@@ -325,7 +325,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>56.242</td></tr></table><br />
+<td>55.562</td></tr></table><br />
 <p>Note: package statistics are not computed recursively, they only sum up all 
of its testsuites numbers.</p>
 <div class="section">
 <h3><a 
name="org.apache.commons.rng.sampling"></a>org.apache.commons.rng.sampling</h3><a
 name="org.apache.commons.rng.sampling"></a>
@@ -347,7 +347,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
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 <tr class="a">
 <td><a href="#org.apache.commons.rng.sampling.UnitSphereSamplerTest"><img 
src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a 
href="#org.apache.commons.rng.sampling.UnitSphereSamplerTest">UnitSphereSamplerTest</a></td>
@@ -356,7 +356,7 @@ function toggleDisplay(elementId) {
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 <td>0</td>
 <td>100%</td>
-<td>0.486</td></tr>
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 <tr class="b">
 <td><a href="#org.apache.commons.rng.sampling.CollectionSamplerTest"><img 
src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a 
href="#org.apache.commons.rng.sampling.CollectionSamplerTest">CollectionSamplerTest</a></td>
@@ -365,7 +365,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
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 <tr class="a">
 <td><a 
href="#org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSamplerTest"><img
 src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a 
href="#org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSamplerTest">DiscreteProbabilityCollectionSamplerTest</a></td>
@@ -374,7 +374,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>2.228</td></tr>
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 <tr class="b">
 <td><a href="#org.apache.commons.rng.sampling.PermutationSamplerTest"><img 
src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a 
href="#org.apache.commons.rng.sampling.PermutationSamplerTest">PermutationSamplerTest</a></td>
@@ -383,7 +383,7 @@ function toggleDisplay(elementId) {
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 <td>0</td>
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 <tr class="a">
 <td><a href="#org.apache.commons.rng.sampling.CombinationSamplerTest"><img 
src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a 
href="#org.apache.commons.rng.sampling.CombinationSamplerTest">CombinationSamplerTest</a></td>
@@ -392,7 +392,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>0.006</td></tr></table></div>
+<td>0.008</td></tr></table></div>
 <div class="section">
 <h3><a 
name="org.apache.commons.rng.sampling.distribution"></a>org.apache.commons.rng.sampling.distribution</h3><a
 name="org.apache.commons.rng.sampling.distribution"></a>
 <table border="1" class="bodyTable">
@@ -413,7 +413,7 @@ function toggleDisplay(elementId) {
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 <td>0</td>
 <td>100%</td>
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 <tr class="a">
 <td><a 
href="#org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSamplerTest"><img
 src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a 
href="#org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSamplerTest">SmallMeanPoissonSamplerTest</a></td>
@@ -431,7 +431,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
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 <tr class="a">
 <td><a 
href="#org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest"><img
 src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a 
href="#org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest">ContinuousSamplerParametricTest</a></td>
@@ -440,7 +440,7 @@ function toggleDisplay(elementId) {
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 <td>0</td>
 <td>100%</td>
-<td>49.581</td></tr>
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 <tr class="b">
 <td><a 
href="#org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSamplerTest"><img
 src="images/icon_success_sml.gif" alt="" /></a></td>
 <td><a 
href="#org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSamplerTest">LargeMeanPoissonSamplerTest</a></td>
@@ -458,7 +458,7 @@ function toggleDisplay(elementId) {
 <td>0</td>
 <td>0</td>
 <td>100%</td>
-<td>0.028</td></tr></table></div><br /></div>
+<td>0.027</td></tr></table></div><br /></div>
 <div class="section">
 <h2><a name="Test_Cases"></a>Test Cases</h2><a name="Test_Cases"></a>
 <p>[<a href="#Summary">Summary</a>] [<a href="#Package_List">Package List</a>] 
[<a href="#Test_Cases">Test Cases</a>]</p>
@@ -468,14 +468,14 @@ function toggleDisplay(elementId) {
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSamplerTest.testInfiniteLoop"></a>testInfiniteLoop</td>
-<td>0.004</td></tr></table></div>
+<td>0.007</td></tr></table></div>
 <div class="section">
 <h3><a name="ListSamplerTest"></a>ListSamplerTest</h3><a 
name="org.apache.commons.rng.sampling.ListSamplerTest"></a>
 <table border="1" class="bodyTable">
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.ListSamplerTest.testSampleWhole"></a>testSampleWhole</td>
-<td>0</td></tr>
+<td>0.001</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.ListSamplerTest.testShuffleHead"></a>testShuffleHead</td>
@@ -517,7 +517,7 @@ function toggleDisplay(elementId) {
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.UnitSphereSamplerTest.testDistribution2D"></a>testDistribution2D</td>
-<td>0.482</td></tr>
+<td>0.431</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.UnitSphereSamplerTest.testPrecondition"></a>testPrecondition</td>
@@ -532,27 +532,27 @@ function toggleDisplay(elementId) {
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling0:_dataorg.apache.commons.math3.distribution.BinomialDistribution3af17be2_inverse_method_org.apache.commons.rng.core.source32.KISSRandom:_p90.023095769094454786_p100.05158055097761578_p110.09520377177686645_p120.14496937975113766_p130.18112724369839103_p140.18387159587563948_p150.149326023317186_p160.09474283676374497"></a>testSampling[0:
 data=org.apache.commons.math3.distribution.BinomialDistribution@3af17be2 
(inverse method) [org.apache.commons.rng.core.source32.KISSRandom]: 
[p(9)=0.023095769094454786, p(10)=0.05158055097761578, 
p(11)=0.09520377177686645, p(12)=0.14496937975113766, 
p(13)=0.18112724369839103, p(14)=0.18387159587563948, p(15)=0.149326023317186, 
p(16)=0.09474283676374497]]</td>
-<td>1.112</td></tr>
+<td>1.077</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling1:_dataorg.apache.commons.math3.distribution.GeometricDistribution3f23a3a0_inverse_method_org.apache.commons.rng.core.source32.ISAACRandom:_p00.21_p10.1659_p20.13106099999999998_p30.10353819_p40.08179517010000001_p50.064618184379_p60.051048365659410004_p70.040328208870933906_p80.03185928500803778_p90.02516883515634985"></a>testSampling[1:
 data=org.apache.commons.math3.distribution.GeometricDistribution@3f23a3a0 
(inverse method) [org.apache.commons.rng.core.source32.ISAACRandom]: 
[p(0)=0.21, p(1)=0.1659, p(2)=0.13106099999999998, p(3)=0.10353819, 
p(4)=0.08179517010000001, p(5)=0.064618184379, p(6)=0.051048365659410004, 
p(7)=0.040328208870933906, p(8)=0.03185928500803778, 
p(9)=0.02516883515634985]]</td>
-<td>0.078</td></tr>
+<td>0.09</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling2:_dataorg.apache.commons.math3.distribution.HypergeometricDistribution5ab14cb9_inverse_method_org.apache.commons.rng.core.source32.MersenneTwister:_p00.0024657026325546985_p10.027122728958101586_p20.11475000713042978_p30.24589287242234964_p40.2950714469068194_p50.20655001283477373_p60.08505000528490682_p70.020250001258311178_p80.00266447384977778_p91.7763158998518558E-4"></a>testSampling[2:
 data=org.apache.commons.math3.distribution.HypergeometricDistribution@5ab14cb9 
(inverse method) [org.apache.commons.rng.core.source32.MersenneTwister]: 
[p(0)=0.0024657026325546985, p(1)=0.027122728958101586, 
p(2)=0.11475000713042978, p(3)=0.24589287242234964, p(4)=0.2950714469068194, 
p(5)=0.20655001283477373, p(6)=0.08505000528490682, p(7)=0.020250001258311178, 
p(8)=0.00266447384977778, p(9)=1.7763158998518558E-4]]</td>
-<td>1.652</td></tr>
+<td>1.469</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling3:_dataorg.apache.commons.math3.distribution.PascalDistribution5fb97279_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_p13.072000000000001E-4_p28.601600000000005E-4_p30.001835008000000001_p40.003303014400000002_p50.0052848230400000034_p60.007751073792000006_p70.010630044057600008_p80.013819057274880012_p90.017197049053184015_p100.02063645886382082_p110.024013333950627862_p120.027215111810711578_p130.030145970005711287_p140.03272991029191512_p150.03491190431137613_p160.03665749952694493_p170.03795129362789594_p180.03879465570851585"></a>testSampling[3:
 data=org.apache.commons.math3.distribution.PascalDistribution@5fb97279 
(inverse method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 
331932042])]: [p(1)=3.072
 000000000001E-4, p(2)=8.601600000000005E-4, p(3)=0.001835008000000001, 
p(4)=0.003303014400000002, p(5)=0.0052848230400000034, 
p(6)=0.007751073792000006, p(7)=0.010630044057600008, 
p(8)=0.013819057274880012, p(9)=0.017197049053184015, 
p(10)=0.02063645886382082, p(11)=0.024013333950627862, 
p(12)=0.027215111810711578, p(13)=0.030145970005711287, 
p(14)=0.03272991029191512, p(15)=0.03491190431137613, 
p(16)=0.03665749952694493, p(17)=0.03795129362789594, 
p(18)=0.03879465570851585]]</td>
-<td>2.298</td></tr>
+<td>2.225</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling4:_dataorg.apache.commons.math3.distribution.UniformIntegerDistribution439a8f59_inverse_method_org.apache.commons.rng.core.source64.SplitMix64:_p-30.125_p-20.125_p-10.125_p00.125_p10.125_p20.125_p30.125_p40.125"></a>testSampling[4:
 data=org.apache.commons.math3.distribution.UniformIntegerDistribution@439a8f59 
(inverse method) [org.apache.commons.rng.core.source64.SplitMix64]: 
[p(-3)=0.125, p(-2)=0.125, p(-1)=0.125, p(0)=0.125, p(1)=0.125, p(2)=0.125, 
p(3)=0.125, p(4)=0.125]]</td>
-<td>0.052</td></tr>
+<td>0.054</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling5:_dataUniform_deviate_org.apache.commons.rng.core.source64.MersenneTwister64:_p-30.125_p-20.125_p-10.125_p00.125_p10.125_p20.125_p30.125_p40.125"></a>testSampling[5:
 data=Uniform deviate [org.apache.commons.rng.core.source64.MersenneTwister64]: 
[p(-3)=0.125, p(-2)=0.125, p(-1)=0.125, p(0)=0.125, p(1)=0.125, p(2)=0.125, 
p(3)=0.125, p(4)=0.125]]</td>
-<td>0.04</td></tr>
+<td>0.039</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling6:_dataUniform_deviate_org.apache.commons.rng.core.source32.Well1024a:_p-10737418234.6566128318777105E-10_p-9663676414.6566128318777105E-10_p-8589934594.6566128318777105E-10_p-7516192774.6566128318777105E-10_p-6442450954.6566128318777105E-10_p-5368709134.6566128318777105E-10_p-4294967314.6566128318777105E-10_p-3221225494.6566128318777105E-10_p-2147483674.6566128318777105E-10_p-1073741854.6566128318777105E-10_p-34.6566128318777105E-10_p1073741794.6566128318777105E-10_p2147483614.6566128318777105E-10_p3221225434.6566128318777105E-10_p4294967254.6566128318777105E-10_p5368709074.6566128318777105E-10_p6442450894.6566128318777105E-10_p7516192714.6566128318777105E-10_p8589934534.6566128318777105E-10_p9663676354.6566128318777105E-10"></a>testSampling[6:
 data=Uniform deviate [org.apache.commons.rng.core.source32.Well1024a]: 
[p(-1073741823)=4.6566128318777105E-10, p(-966367641)=4.65661283187
 77105E-10, p(-858993459)=4.6566128318777105E-10, 
p(-751619277)=4.6566128318777105E-10, p(-644245095)=4.6566128318777105E-10, 
p(-536870913)=4.6566128318777105E-10, p(-429496731)=4.6566128318777105E-10, 
p(-322122549)=4.6566128318777105E-10, p(-214748367)=4.6566128318777105E-10, 
p(-107374185)=4.6566128318777105E-10, p(-3)=4.6566128318777105E-10, 
p(107374179)=4.6566128318777105E-10, p(214748361)=4.6566128318777105E-10, 
p(322122543)=4.6566128318777105E-10, p(429496725)=4.6566128318777105E-10, 
p(536870907)=4.6566128318777105E-10, p(644245089)=4.6566128318777105E-10, 
p(751619271)=4.6566128318777105E-10, p(858993453)=4.6566128318777105E-10, 
p(966367635)=4.6566128318777105E-10]]</td>
@@ -560,7 +560,7 @@ function toggleDisplay(elementId) {
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling7:_dataorg.apache.commons.math3.distribution.ZipfDistribution61861a29_inverse_method_org.apache.commons.rng.core.source64.XorShift1024Star:_p10.7492972273207761_p20.14748192097270862_p30.05699080391974589_p40.029028423195390594_p50.017201624591378938"></a>testSampling[7:
 data=org.apache.commons.math3.distribution.ZipfDistribution@61861a29 (inverse 
method) [org.apache.commons.rng.core.source64.XorShift1024Star]: 
[p(1)=0.7492972273207761, p(2)=0.14748192097270862, p(3)=0.05699080391974589, 
p(4)=0.029028423195390594, p(5)=0.017201624591378938]]</td>
-<td>0.337</td></tr>
+<td>0.331</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling8:_dataRejection_inversion_Zipf_deviate_org.apache.commons.rng.core.source32.Well19937c:_p10.7492972273207761_p20.14748192097270862_p30.05699080391974589_p40.029028423195390594_p50.017201624591378938"></a>testSampling[8:
 data=Rejection inversion Zipf deviate 
[org.apache.commons.rng.core.source32.Well19937c]: [p(1)=0.7492972273207761, 
p(2)=0.14748192097270862, p(3)=0.05699080391974589, p(4)=0.029028423195390594, 
p(5)=0.017201624591378938]]</td>
@@ -568,42 +568,42 @@ function toggleDisplay(elementId) {
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling9:_dataRejection_inversion_Zipf_deviate_org.apache.commons.rng.core.source32.Well19937c:_p10.4379562043530691_p20.21897810219171296_p30.14598540146706115_p40.10948905110344569_p50.08759124088471108"></a>testSampling[9:
 data=Rejection inversion Zipf deviate 
[org.apache.commons.rng.core.source32.Well19937c]: [p(1)=0.4379562043530691, 
p(2)=0.21897810219171296, p(3)=0.14598540146706115, p(4)=0.10948905110344569, 
p(5)=0.08759124088471108]]</td>
-<td>0.055</td></tr>
+<td>0.054</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling10:_dataorg.apache.commons.math3.distribution.PoissonDistribution31024624_inverse_method_org.apache.commons.rng.core.source32.MultiplyWithCarry256:_p00.04035661327203115_p10.12954472860322003_p20.20791928940816812_p30.2224736396667398_p40.17853509583255872_p50.11461953152450273_p60.06132144936560896_p70.028120264637657804_p80.011283256185860206_p90.004024361372956809"></a>testSampling[10:
 data=org.apache.commons.math3.distribution.PoissonDistribution@31024624 
(inverse method) [org.apache.commons.rng.core.source32.MultiplyWithCarry256]: 
[p(0)=0.04035661327203115, p(1)=0.12954472860322003, p(2)=0.20791928940816812, 
p(3)=0.2224736396667398, p(4)=0.17853509583255872, p(5)=0.11461953152450273, 
p(6)=0.06132144936560896, p(7)=0.028120264637657804, p(8)=0.011283256185860206, 
p(9)=0.004024361372956809]]</td>
-<td>0.323</td></tr>
+<td>0.325</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling11:_dataSmall_Mean_Poisson_deviate_org.apache.commons.rng.core.source32.KISSRandom:_p00.04035661327203115_p10.12954472860322003_p20.20791928940816812_p30.2224736396667398_p40.17853509583255872_p50.11461953152450273_p60.06132144936560896_p70.028120264637657804_p80.011283256185860206_p90.004024361372956809"></a>testSampling[11:
 data=Small Mean Poisson deviate 
[org.apache.commons.rng.core.source32.KISSRandom]: [p(0)=0.04035661327203115, 
p(1)=0.12954472860322003, p(2)=0.20791928940816812, p(3)=0.2224736396667398, 
p(4)=0.17853509583255872, p(5)=0.11461953152450273, p(6)=0.06132144936560896, 
p(7)=0.028120264637657804, p(8)=0.011283256185860206, 
p(9)=0.004024361372956809]]</td>
-<td>0.05</td></tr>
+<td>0.051</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling12:_dataSmall_Mean_Poisson_deviate_org.apache.commons.rng.core.source32.KISSRandom:_p00.04035661327203115_p10.12954472860322003_p20.20791928940816812_p30.2224736396667398_p40.17853509583255872_p50.11461953152450273_p60.06132144936560896_p70.028120264637657804_p80.011283256185860206_p90.004024361372956809"></a>testSampling[12:
 data=Small Mean Poisson deviate 
[org.apache.commons.rng.core.source32.KISSRandom]: [p(0)=0.04035661327203115, 
p(1)=0.12954472860322003, p(2)=0.20791928940816812, p(3)=0.2224736396667398, 
p(4)=0.17853509583255872, p(5)=0.11461953152450273, p(6)=0.06132144936560896, 
p(7)=0.028120264637657804, p(8)=0.011283256185860206, 
p(9)=0.004024361372956809]]</td>
-<td>0.051</td></tr>
+<td>0.048</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling13:_dataLarge_Mean_Poisson_deviate_org.apache.commons.rng.core.source64.SplitMix64:_p422.01332261864714E-4_p433.178708664650107E-4_p444.904602982797607E-4_p457.399411033380707E-4_p460.0010920565544700338_p470.0015774408400631998_p480.0022310928881643863_p490.0030912019628057353_p500.004197234025097629_p510.005587259175762295_p520.007294596643125029_p530.009343965398146416_p540.0117474409422251_p550.014500613919412056_p560.017579404981944432_p570.020937996565336982_p580.02450828597966772_p590.028201144663722724_p600.031909595187002274_p610.035513810118780076_p620.03888762208006417_p630.041906042270088206_p640.04445314390181701_p650.04642959906914395_p660.04775917395157853_p670.048393586859293534_p680.04831530311584467_p690.04753805693528543_p700.0461051240762361_p710.044085589768108016_p720.041569037352178526_p730.03865920473752602_p740.035467208238251904_p750.03210491689726564_p760
 
.028678984317833736_p770.02528592526412639_p780.02200848033566078_p790.018913363670734304_p800.016050353245076903_p810.013452573849484829_p820.01113774681270152_p830.009110140133907273_p840.0073629454010829265_p850.005880827803288493_p860.004642434878665753_p870.0036227000449726354_p880.00279483075060444_p890.0021319220186352314_p900.001608179842723834_p910.0011997728518958395"></a>testSampling[13:
 data=Large Mean Poisson deviate 
[org.apache.commons.rng.core.source64.SplitMix64]: [p(42)=2.01332261864714E-4, 
p(43)=3.178708664650107E-4, p(44)=4.904602982797607E-4, 
p(45)=7.399411033380707E-4, p(46)=0.0010920565544700338, 
p(47)=0.0015774408400631998, p(48)=0.0022310928881643863, 
p(49)=0.0030912019628057353, p(50)=0.004197234025097629, 
p(51)=0.005587259175762295, p(52)=0.007294596643125029, 
p(53)=0.009343965398146416, p(54)=0.0117474409422251, 
p(55)=0.014500613919412056, p(56)=0.017579404981944432, 
p(57)=0.020937996565336982, p(58)=0.02450828597966772, 
p(59)=0.028201144663722724, p(60)=0
 .031909595187002274, p(61)=0.035513810118780076, p(62)=0.03888762208006417, 
p(63)=0.041906042270088206, p(64)=0.04445314390181701, 
p(65)=0.04642959906914395, p(66)=0.04775917395157853, 
p(67)=0.048393586859293534, p(68)=0.04831530311584467, 
p(69)=0.04753805693528543, p(70)=0.0461051240762361, 
p(71)=0.044085589768108016, p(72)=0.041569037352178526, 
p(73)=0.03865920473752602, p(74)=0.035467208238251904, 
p(75)=0.03210491689726564, p(76)=0.028678984317833736, 
p(77)=0.02528592526412639, p(78)=0.02200848033566078, 
p(79)=0.018913363670734304, p(80)=0.016050353245076903, 
p(81)=0.013452573849484829, p(82)=0.01113774681270152, 
p(83)=0.009110140133907273, p(84)=0.0073629454010829265, 
p(85)=0.005880827803288493, p(86)=0.004642434878665753, 
p(87)=0.0036227000449726354, p(88)=0.00279483075060444, 
p(89)=0.0021319220186352314, p(90)=0.001608179842723834, 
p(91)=0.0011997728518958395]]</td>
-<td>0.094</td></tr>
+<td>0.093</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling14:_dataLarge_Mean_Poisson_deviate_org.apache.commons.rng.core.source64.SplitMix64:_p422.01332261864714E-4_p433.178708664650107E-4_p444.904602982797607E-4_p457.399411033380707E-4_p460.0010920565544700338_p470.0015774408400631998_p480.0022310928881643863_p490.0030912019628057353_p500.004197234025097629_p510.005587259175762295_p520.007294596643125029_p530.009343965398146416_p540.0117474409422251_p550.014500613919412056_p560.017579404981944432_p570.020937996565336982_p580.02450828597966772_p590.028201144663722724_p600.031909595187002274_p610.035513810118780076_p620.03888762208006417_p630.041906042270088206_p640.04445314390181701_p650.04642959906914395_p660.04775917395157853_p670.048393586859293534_p680.04831530311584467_p690.04753805693528543_p700.0461051240762361_p710.044085589768108016_p720.041569037352178526_p730.03865920473752602_p740.035467208238251904_p750.03210491689726564_p760
 
.028678984317833736_p770.02528592526412639_p780.02200848033566078_p790.018913363670734304_p800.016050353245076903_p810.013452573849484829_p820.01113774681270152_p830.009110140133907273_p840.0073629454010829265_p850.005880827803288493_p860.004642434878665753_p870.0036227000449726354_p880.00279483075060444_p890.0021319220186352314_p900.001608179842723834_p910.0011997728518958395"></a>testSampling[14:
 data=Large Mean Poisson deviate 
[org.apache.commons.rng.core.source64.SplitMix64]: [p(42)=2.01332261864714E-4, 
p(43)=3.178708664650107E-4, p(44)=4.904602982797607E-4, 
p(45)=7.399411033380707E-4, p(46)=0.0010920565544700338, 
p(47)=0.0015774408400631998, p(48)=0.0022310928881643863, 
p(49)=0.0030912019628057353, p(50)=0.004197234025097629, 
p(51)=0.005587259175762295, p(52)=0.007294596643125029, 
p(53)=0.009343965398146416, p(54)=0.0117474409422251, 
p(55)=0.014500613919412056, p(56)=0.017579404981944432, 
p(57)=0.020937996565336982, p(58)=0.02450828597966772, 
p(59)=0.028201144663722724, p(60)=0
 .031909595187002274, p(61)=0.035513810118780076, p(62)=0.03888762208006417, 
p(63)=0.041906042270088206, p(64)=0.04445314390181701, 
p(65)=0.04642959906914395, p(66)=0.04775917395157853, 
p(67)=0.048393586859293534, p(68)=0.04831530311584467, 
p(69)=0.04753805693528543, p(70)=0.0461051240762361, 
p(71)=0.044085589768108016, p(72)=0.041569037352178526, 
p(73)=0.03865920473752602, p(74)=0.035467208238251904, 
p(75)=0.03210491689726564, p(76)=0.028678984317833736, 
p(77)=0.02528592526412639, p(78)=0.02200848033566078, 
p(79)=0.018913363670734304, p(80)=0.016050353245076903, 
p(81)=0.013452573849484829, p(82)=0.01113774681270152, 
p(83)=0.009110140133907273, p(84)=0.0073629454010829265, 
p(85)=0.005880827803288493, p(86)=0.004642434878665753, 
p(87)=0.0036227000449726354, p(88)=0.00279483075060444, 
p(89)=0.0021319220186352314, p(90)=0.001608179842723834, 
p(91)=0.0011997728518958395]]</td>
-<td>0.069</td></tr>
+<td>0.067</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling15:_dataLarge_Mean_Poisson_deviate_org.apache.commons.rng.core.source64.SplitMix64:_p4930.0016370423596245532_p4940.0018001169639102297_p4950.001975437446395307_p4960.0021634624501136986_p4970.002364616574499522_p4980.0025792838743652325_p4990.002807801189166206_p5000.0030504513679339516_p5010.0033074564622263495_p5020.0035789709658286383_p5030.003865075185582054_p5040.004165768832460373_p5050.004480964925704556_p5060.004810484105320098_p5070.005154049449410124_p5080.005511281892547389_p5090.0058816963395887404_p5100.006264698565937252_p5110.00665958299022069_p5120.007065531398667543_p5130.007481612692144635_p5140.007906783716925849_p5150.008339891228876293_p5160.008779675027980412_p5170.009224772286168744_p5180.009673723076389433_p5190.010124977095039503_p5200.010576901553454624_p5210.011027790197412837_p5220.01147587339681346_p5230.011919329231133919_p5240.012356295480237135_p525
 
0.012784882414894509_p5260.01320318626729058_p5270.013609303249060564_p5280.014001343973337485_p5290.014377448128084405_p5300.014735799240861758_p5310.015074639370298527_p5320.015392283557029806_p5330.01568713386681832_p5340.015957692861038167_p5350.016202576334662704_p5360.016420525169313662_p5370.016610416158701815_p5380.016771271675777723_p5390.01690226806493361_p5400.017002742658430728_p5410.01707219933361581_p5420.017110312546150266_p5430.0171169297940963_p5440.017092072487961484_p5450.017035935222358828_p5460.01694888346545337_p5470.016831449702502596_p5480.016684328089227072_p5490.016508367689160367_p5500.016304564386234198_p5510.01607405157939432_p5520.01581808977978767_p5530.015538055242818191_p5540.015235427776987854_p5550.01491177787880644_p5560.014568753348105113_p5570.01420806554079746_p5580.013831475416517176_p5590.013440779536683895_p5600.013037796164503672_p5610.012624351612335194_p5620.012202266973908537_p5630.011773345369266176_p5640.011339359819218225_p5650.010902
 
04185380094_p5660.010463070945942074_p5670.010024064847522387_p5680.009586570890532808_p5690.009152058301311649_p5700.00872191156115_p5710.00829742483210559_p5720.007879797452881258_p5730.007470130496299524_p5740.007069424367412655_p5750.006678577409777789_p5760.006298385477023251_p5770.0059295424176322355_p5780.005572641412944653_p5790.005228177101771437_p5800.004896548419747005_p5810.004578062077608903_p5820.0042729365999620815_p5830.003981306844709093_p5840.0037032289231411454_p5850.003438685441605985_p5860.0031875909876020255_p5870.002949797785988582_p5880.0027251014546375114_p5890.0025132467931640802_p5900.002313933543245188_p5910.0021268220643421614_p5920.0019515388742758566"></a>testSampling[15:
 data=Large Mean Poisson deviate 
[org.apache.commons.rng.core.source64.SplitMix64]: 
[p(493)=0.0016370423596245532, p(494)=0.0018001169639102297, 
p(495)=0.001975437446395307, p(496)=0.0021634624501136986, 
p(497)=0.002364616574499522, p(498)=0.0025792838743652325, 
p(499)=0.00280780118916
 6206, p(500)=0.0030504513679339516, p(501)=0.0033074564622263495, 
p(502)=0.0035789709658286383, p(503)=0.003865075185582054, 
p(504)=0.004165768832460373, p(505)=0.004480964925704556, 
p(506)=0.004810484105320098, p(507)=0.005154049449410124, 
p(508)=0.005511281892547389, p(509)=0.0058816963395887404, 
p(510)=0.006264698565937252, p(511)=0.00665958299022069, 
p(512)=0.007065531398667543, p(513)=0.007481612692144635, 
p(514)=0.007906783716925849, p(515)=0.008339891228876293, 
p(516)=0.008779675027980412, p(517)=0.009224772286168744, 
p(518)=0.009673723076389433, p(519)=0.010124977095039503, 
p(520)=0.010576901553454624, p(521)=0.011027790197412837, 
p(522)=0.01147587339681346, p(523)=0.011919329231133919, 
p(524)=0.012356295480237135, p(525)=0.012784882414894509, 
p(526)=0.01320318626729058, p(527)=0.013609303249060564, 
p(528)=0.014001343973337485, p(529)=0.014377448128084405, 
p(530)=0.014735799240861758, p(531)=0.015074639370298527, 
p(532)=0.015392283557029806, p(533)=0.01568713386681832, p(534
 )=0.015957692861038167, p(535)=0.016202576334662704, 
p(536)=0.016420525169313662, p(537)=0.016610416158701815, 
p(538)=0.016771271675777723, p(539)=0.01690226806493361, 
p(540)=0.017002742658430728, p(541)=0.01707219933361581, 
p(542)=0.017110312546150266, p(543)=0.0171169297940963, 
p(544)=0.017092072487961484, p(545)=0.017035935222358828, 
p(546)=0.01694888346545337, p(547)=0.016831449702502596, 
p(548)=0.016684328089227072, p(549)=0.016508367689160367, 
p(550)=0.016304564386234198, p(551)=0.01607405157939432, 
p(552)=0.01581808977978767, p(553)=0.015538055242818191, 
p(554)=0.015235427776987854, p(555)=0.01491177787880644, 
p(556)=0.014568753348105113, p(557)=0.01420806554079746, 
p(558)=0.013831475416517176, p(559)=0.013440779536683895, 
p(560)=0.013037796164503672, p(561)=0.012624351612335194, 
p(562)=0.012202266973908537, p(563)=0.011773345369266176, 
p(564)=0.011339359819218225, p(565)=0.01090204185380094, 
p(566)=0.010463070945942074, p(567)=0.010024064847522387, 
p(568)=0.00958657089053280
 8, p(569)=0.009152058301311649, p(570)=0.00872191156115, 
p(571)=0.00829742483210559, p(572)=0.007879797452881258, 
p(573)=0.007470130496299524, p(574)=0.007069424367412655, 
p(575)=0.006678577409777789, p(576)=0.006298385477023251, 
p(577)=0.0059295424176322355, p(578)=0.005572641412944653, 
p(579)=0.005228177101771437, p(580)=0.004896548419747005, 
p(581)=0.004578062077608903, p(582)=0.0042729365999620815, 
p(583)=0.003981306844709093, p(584)=0.0037032289231411454, 
p(585)=0.003438685441605985, p(586)=0.0031875909876020255, 
p(587)=0.002949797785988582, p(588)=0.0027251014546375114, 
p(589)=0.0025132467931640802, p(590)=0.002313933543245188, 
p(591)=0.0021268220643421614, p(592)=0.0019515388742758566]]</td>
-<td>0.077</td></tr>
+<td>0.069</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.DiscreteSamplerParametricTest.testSampling16:_dataLarge_Mean_Poisson_deviate_org.apache.commons.rng.core.source64.SplitMix64:_p4930.0016370423596245532_p4940.0018001169639102297_p4950.001975437446395307_p4960.0021634624501136986_p4970.002364616574499522_p4980.0025792838743652325_p4990.002807801189166206_p5000.0030504513679339516_p5010.0033074564622263495_p5020.0035789709658286383_p5030.003865075185582054_p5040.004165768832460373_p5050.004480964925704556_p5060.004810484105320098_p5070.005154049449410124_p5080.005511281892547389_p5090.0058816963395887404_p5100.006264698565937252_p5110.00665958299022069_p5120.007065531398667543_p5130.007481612692144635_p5140.007906783716925849_p5150.008339891228876293_p5160.008779675027980412_p5170.009224772286168744_p5180.009673723076389433_p5190.010124977095039503_p5200.010576901553454624_p5210.011027790197412837_p5220.01147587339681346_p5230.011919329231133919_p5240.012356295480237135_p525
 
0.012784882414894509_p5260.01320318626729058_p5270.013609303249060564_p5280.014001343973337485_p5290.014377448128084405_p5300.014735799240861758_p5310.015074639370298527_p5320.015392283557029806_p5330.01568713386681832_p5340.015957692861038167_p5350.016202576334662704_p5360.016420525169313662_p5370.016610416158701815_p5380.016771271675777723_p5390.01690226806493361_p5400.017002742658430728_p5410.01707219933361581_p5420.017110312546150266_p5430.0171169297940963_p5440.017092072487961484_p5450.017035935222358828_p5460.01694888346545337_p5470.016831449702502596_p5480.016684328089227072_p5490.016508367689160367_p5500.016304564386234198_p5510.01607405157939432_p5520.01581808977978767_p5530.015538055242818191_p5540.015235427776987854_p5550.01491177787880644_p5560.014568753348105113_p5570.01420806554079746_p5580.013831475416517176_p5590.013440779536683895_p5600.013037796164503672_p5610.012624351612335194_p5620.012202266973908537_p5630.011773345369266176_p5640.011339359819218225_p5650.010902
 
04185380094_p5660.010463070945942074_p5670.010024064847522387_p5680.009586570890532808_p5690.009152058301311649_p5700.00872191156115_p5710.00829742483210559_p5720.007879797452881258_p5730.007470130496299524_p5740.007069424367412655_p5750.006678577409777789_p5760.006298385477023251_p5770.0059295424176322355_p5780.005572641412944653_p5790.005228177101771437_p5800.004896548419747005_p5810.004578062077608903_p5820.0042729365999620815_p5830.003981306844709093_p5840.0037032289231411454_p5850.003438685441605985_p5860.0031875909876020255_p5870.002949797785988582_p5880.0027251014546375114_p5890.0025132467931640802_p5900.002313933543245188_p5910.0021268220643421614_p5920.0019515388742758566"></a>testSampling[16:
 data=Large Mean Poisson deviate 
[org.apache.commons.rng.core.source64.SplitMix64]: 
[p(493)=0.0016370423596245532, p(494)=0.0018001169639102297, 
p(495)=0.001975437446395307, p(496)=0.0021634624501136986, 
p(497)=0.002364616574499522, p(498)=0.0025792838743652325, 
p(499)=0.00280780118916
 6206, p(500)=0.0030504513679339516, p(501)=0.0033074564622263495, 
p(502)=0.0035789709658286383, p(503)=0.003865075185582054, 
p(504)=0.004165768832460373, p(505)=0.004480964925704556, 
p(506)=0.004810484105320098, p(507)=0.005154049449410124, 
p(508)=0.005511281892547389, p(509)=0.0058816963395887404, 
p(510)=0.006264698565937252, p(511)=0.00665958299022069, 
p(512)=0.007065531398667543, p(513)=0.007481612692144635, 
p(514)=0.007906783716925849, p(515)=0.008339891228876293, 
p(516)=0.008779675027980412, p(517)=0.009224772286168744, 
p(518)=0.009673723076389433, p(519)=0.010124977095039503, 
p(520)=0.010576901553454624, p(521)=0.011027790197412837, 
p(522)=0.01147587339681346, p(523)=0.011919329231133919, 
p(524)=0.012356295480237135, p(525)=0.012784882414894509, 
p(526)=0.01320318626729058, p(527)=0.013609303249060564, 
p(528)=0.014001343973337485, p(529)=0.014377448128084405, 
p(530)=0.014735799240861758, p(531)=0.015074639370298527, 
p(532)=0.015392283557029806, p(533)=0.01568713386681832, p(534
 )=0.015957692861038167, p(535)=0.016202576334662704, 
p(536)=0.016420525169313662, p(537)=0.016610416158701815, 
p(538)=0.016771271675777723, p(539)=0.01690226806493361, 
p(540)=0.017002742658430728, p(541)=0.01707219933361581, 
p(542)=0.017110312546150266, p(543)=0.0171169297940963, 
p(544)=0.017092072487961484, p(545)=0.017035935222358828, 
p(546)=0.01694888346545337, p(547)=0.016831449702502596, 
p(548)=0.016684328089227072, p(549)=0.016508367689160367, 
p(550)=0.016304564386234198, p(551)=0.01607405157939432, 
p(552)=0.01581808977978767, p(553)=0.015538055242818191, 
p(554)=0.015235427776987854, p(555)=0.01491177787880644, 
p(556)=0.014568753348105113, p(557)=0.01420806554079746, 
p(558)=0.013831475416517176, p(559)=0.013440779536683895, 
p(560)=0.013037796164503672, p(561)=0.012624351612335194, 
p(562)=0.012202266973908537, p(563)=0.011773345369266176, 
p(564)=0.011339359819218225, p(565)=0.01090204185380094, 
p(566)=0.010463070945942074, p(567)=0.010024064847522387, 
p(568)=0.00958657089053280
 8, p(569)=0.009152058301311649, p(570)=0.00872191156115, 
p(571)=0.00829742483210559, p(572)=0.007879797452881258, 
p(573)=0.007470130496299524, p(574)=0.007069424367412655, 
p(575)=0.006678577409777789, p(576)=0.006298385477023251, 
p(577)=0.0059295424176322355, p(578)=0.005572641412944653, 
p(579)=0.005228177101771437, p(580)=0.004896548419747005, 
p(581)=0.004578062077608903, p(582)=0.0042729365999620815, 
p(583)=0.003981306844709093, p(584)=0.0037032289231411454, 
p(585)=0.003438685441605985, p(586)=0.0031875909876020255, 
p(587)=0.002949797785988582, p(588)=0.0027251014546375114, 
p(589)=0.0025132467931640802, p(590)=0.002313933543245188, 
p(591)=0.0021268220643421614, p(592)=0.0019515388742758566]]</td>
-<td>0.066</td></tr></table></div>
+<td>0.059</td></tr></table></div>
 <div class="section">
 <h3><a 
name="ContinuousSamplerParametricTest"></a>ContinuousSamplerParametricTest</h3><a
 
name="org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest"></a>
 <table border="1" class="bodyTable">
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling0:_dataorg.apache.commons.math3.distribution.NormalDistribution3d7fa3ae_inverse_method_org.apache.commons.rng.core.source32.KISSRandom:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[0:
 data=org.apache.commons.math3.distribution.NormalDistribution@3d7fa3ae 
(inverse method) [org.apache.commons.rng.core.source32.KISSRandom]: 
deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, 
-125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, 
-117.73623344527348, -114.7495464215177]]</td>
-<td>0.127</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling0:_dataorg.apache.commons.math3.distribution.NormalDistribution4d847d32_inverse_method_org.apache.commons.rng.core.source32.KISSRandom:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[0:
 data=org.apache.commons.math3.distribution.NormalDistribution@4d847d32 
(inverse method) [org.apache.commons.rng.core.source32.KISSRandom]: 
deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, 
-125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, 
-117.73623344527348, -114.7495464215177]]</td>
+<td>0.129</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling1:_dataBox-Muller_Gaussian_deviate_org.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[1:
 data=Box-Muller Gaussian deviate 
[org.apache.commons.rng.core.source32.MersenneTwister]: 
deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, 
-125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, 
-117.73623344527348, -114.7495464215177]]</td>
@@ -611,153 +611,153 @@ function toggleDisplay(elementId) {
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling2:_dataGaussian_deviate_Box-Muller_normalized_Gaussian_deviate_org.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[2:
 data=Gaussian deviate [Box-Muller normalized Gaussian deviate 
[org.apache.commons.rng.core.source32.MersenneTwister]]: 
deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, 
-125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, 
-117.73623344527348, -114.7495464215177]]</td>
-<td>0.153</td></tr>
+<td>0.149</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling3:_dataGaussian_deviate_Box-Muller_with_rejection_normalized_Gaussian_deviate_org.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[3:
 data=Gaussian deviate [Box-Muller (with rejection) normalized Gaussian deviate 
[org.apache.commons.rng.core.source32.MersenneTwister]]: 
deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, 
-125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, 
-117.73623344527348, -114.7495464215177]]</td>
-<td>0.068</td></tr>
+<td>0.065</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling4:_dataGaussian_deviate_Ziggurat_normalized_Gaussian_deviate_org.apache.commons.rng.core.source32.MersenneTwister:_deciles-132.15045357848228_-129.16376655472652_-127.0101550807749_-125.16997348318894_-123.45_-121.73002651681107_-119.88984491922511_-117.73623344527348_-114.7495464215177"></a>testSampling[4:
 data=Gaussian deviate [Ziggurat normalized Gaussian deviate 
[org.apache.commons.rng.core.source32.MersenneTwister]]: 
deciles=[-132.15045357848228, -129.16376655472652, -127.0101550807749, 
-125.16997348318894, -123.45, -121.73002651681107, -119.88984491922511, 
-117.73623344527348, -114.7495464215177]]</td>
-<td>0.046</td></tr>
+<td>0.05</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling5:_dataorg.apache.commons.math3.distribution.BetaDistribution58065f0c_inverse_method_org.apache.commons.rng.core.source32.ISAACRandom:_deciles0.4298649852990108_0.5207666571732391_0.5865627257895885_0.6414587976096218_0.6906878143109644_0.7371181100755657_0.7829587508743321_0.8307844775627031_0.8857448793044083"></a>testSampling[5:
 data=org.apache.commons.math3.distribution.BetaDistribution@58065f0c (inverse 
method) [org.apache.commons.rng.core.source32.ISAACRandom]: 
deciles=[0.4298649852990108, 0.5207666571732391, 0.5865627257895885, 
0.6414587976096218, 0.6906878143109644, 0.7371181100755657, 0.7829587508743321, 
0.8307844775627031, 0.8857448793044083]]</td>
-<td>8.615</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling5:_dataorg.apache.commons.math3.distribution.BetaDistribution5f462e3b_inverse_method_org.apache.commons.rng.core.source32.ISAACRandom:_deciles0.4298649852990108_0.5207666571732391_0.5865627257895885_0.6414587976096218_0.6906878143109644_0.7371181100755657_0.7829587508743321_0.8307844775627031_0.8857448793044083"></a>testSampling[5:
 data=org.apache.commons.math3.distribution.BetaDistribution@5f462e3b (inverse 
method) [org.apache.commons.rng.core.source32.ISAACRandom]: 
deciles=[0.4298649852990108, 0.5207666571732391, 0.5865627257895885, 
0.6414587976096218, 0.6906878143109644, 0.7371181100755657, 0.7829587508743321, 
0.8307844775627031, 0.8857448793044083]]</td>
+<td>8.045</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling6:_dataCheng_Beta_deviate_org.apache.commons.rng.core.source32.MultiplyWithCarry256:_deciles0.4298649852990108_0.5207666571732391_0.5865627257895885_0.6414587976096218_0.6906878143109644_0.7371181100755657_0.7829587508743321_0.8307844775627031_0.8857448793044083"></a>testSampling[6:
 data=Cheng Beta deviate 
[org.apache.commons.rng.core.source32.MultiplyWithCarry256]: 
deciles=[0.4298649852990108, 0.5207666571732391, 0.5865627257895885, 
0.6414587976096218, 0.6906878143109644, 0.7371181100755657, 0.7829587508743321, 
0.8307844775627031, 0.8857448793044083]]</td>
-<td>0.215</td></tr>
+<td>0.217</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling7:_dataCheng_Beta_deviate_org.apache.commons.rng.core.source32.Well19937a:_deciles0.11425512069559182_0.16921552243729682_0.2170412491256681_0.2628818899244343_0.30931218568903557_0.3585412023903783_0.4134372742104115_0.4792333428267617_0.5701350147009892"></a>testSampling[7:
 data=Cheng Beta deviate [org.apache.commons.rng.core.source32.Well19937a]: 
deciles=[0.11425512069559182, 0.16921552243729682, 0.2170412491256681, 
0.2628818899244343, 0.30931218568903557, 0.3585412023903783, 
0.4134372742104115, 0.4792333428267617, 0.5701350147009892]]</td>
-<td>0.241</td></tr>
+<td>0.243</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling8:_dataCheng_Beta_deviate_org.apache.commons.rng.core.source32.Well512a:_deciles0.26551650009767735_0.6356468907498947_0.8625366976007641_0.9589895646143769_0.9905246158210488_0.998441910135814_0.9998485190527268_0.9999943325699867_0.9999999795328735"></a>testSampling[8:
 data=Cheng Beta deviate [org.apache.commons.rng.core.source32.Well512a]: 
deciles=[0.26551650009767735, 0.6356468907498947, 0.8625366976007641, 
0.9589895646143769, 0.9905246158210488, 0.998441910135814, 0.9998485190527268, 
0.9999943325699867, 0.9999999795328735]]</td>
-<td>0.349</td></tr>
+<td>0.359</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling9:_dataCheng_Beta_deviate_org.apache.commons.rng.core.source32.Well19937c:_deciles2.0467146508394357E-8_5.667430013258736E-6_1.5148094727328141E-4_0.00155808986418601_0.009475384178951236_0.04101043538562311_0.1374633023992365_0.3643531092501059_0.7344834999023228"></a>testSampling[9:
 data=Cheng Beta deviate [org.apache.commons.rng.core.source32.Well19937c]: 
deciles=[2.0467146508394357E-8, 5.667430013258736E-6, 1.5148094727328141E-4, 
0.00155808986418601, 0.009475384178951236, 0.04101043538562311, 
0.1374633023992365, 0.3643531092501059, 0.7344834999023228]]</td>
-<td>0.391</td></tr>
+<td>0.387</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling10:_dataorg.apache.commons.math3.distribution.CauchyDistribution3605c4d3_inverse_method_org.apache.commons.rng.core.source32.Well19937c:_deciles-13.726575917288638_-6.07071864212028_-3.146441376024124_-1.3391386330480781_0.123_1.5851386330480781_3.3924413760241228_6.316718642120282_13.972575917288637"></a>testSampling[10:
 data=org.apache.commons.math3.distribution.CauchyDistribution@3605c4d3 
(inverse method) [org.apache.commons.rng.core.source32.Well19937c]: 
deciles=[-13.726575917288638, -6.07071864212028, -3.146441376024124, 
-1.3391386330480781, 0.123, 1.5851386330480781, 3.3924413760241228, 
6.316718642120282, 13.972575917288637]]</td>
-<td>0.109</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling10:_dataorg.apache.commons.math3.distribution.CauchyDistribution3d7fa3ae_inverse_method_org.apache.commons.rng.core.source32.Well19937c:_deciles-13.726575917288638_-6.07071864212028_-3.146441376024124_-1.3391386330480781_0.123_1.5851386330480781_3.3924413760241228_6.316718642120282_13.972575917288637"></a>testSampling[10:
 data=org.apache.commons.math3.distribution.CauchyDistribution@3d7fa3ae 
(inverse method) [org.apache.commons.rng.core.source32.Well19937c]: 
deciles=[-13.726575917288638, -6.07071864212028, -3.146441376024124, 
-1.3391386330480781, 0.123, 1.5851386330480781, 3.3924413760241228, 
6.316718642120282, 13.972575917288637]]</td>
+<td>0.108</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling11:_dataorg.apache.commons.math3.distribution.ChiSquaredDistribution585c13de_inverse_method_org.apache.commons.rng.core.source32.Well19937a:_deciles6.303796059584302_7.8073276789530315_9.034276588162736_10.181971378419295_11.340322377426267_12.583837966617532_14.011100168520795_15.811986221909265_18.549347786703265"></a>testSampling[11:
 data=org.apache.commons.math3.distribution.ChiSquaredDistribution@585c13de 
(inverse method) [org.apache.commons.rng.core.source32.Well19937a]: 
deciles=[6.303796059584302, 7.8073276789530315, 9.034276588162736, 
10.181971378419295, 11.340322377426267, 12.583837966617532, 14.011100168520795, 
15.811986221909265, 18.549347786703265]]</td>
-<td>3.032</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling11:_dataorg.apache.commons.math3.distribution.ChiSquaredDistribution58065f0c_inverse_method_org.apache.commons.rng.core.source32.Well19937a:_deciles6.303796059584302_7.8073276789530315_9.034276588162736_10.181971378419295_11.340322377426267_12.583837966617532_14.011100168520795_15.811986221909265_18.549347786703265"></a>testSampling[11:
 data=org.apache.commons.math3.distribution.ChiSquaredDistribution@58065f0c 
(inverse method) [org.apache.commons.rng.core.source32.Well19937a]: 
deciles=[6.303796059584302, 7.8073276789530315, 9.034276588162736, 
10.181971378419295, 11.340322377426267, 12.583837966617532, 14.011100168520795, 
15.811986221909265, 18.549347786703265]]</td>
+<td>2.928</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling12:_dataorg.apache.commons.math3.distribution.ExponentialDistribution187eb9a8_inverse_method_org.apache.commons.rng.core.source32.Well44497a:_deciles0.3634937790195007_0.7698452520340235_1.230528556588627_1.762348401992668_2.391357772931811_3.1612030249658347_4.153706174924479_5.552560797897647_7.943918570829458"></a>testSampling[12:
 data=org.apache.commons.math3.distribution.ExponentialDistribution@187eb9a8 
(inverse method) [org.apache.commons.rng.core.source32.Well44497a]: 
deciles=[0.3634937790195007, 0.7698452520340235, 1.230528556588627, 
1.762348401992668, 2.391357772931811, 3.1612030249658347, 4.153706174924479, 
5.552560797897647, 7.943918570829458]]</td>
-<td>0.094</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling12:_dataorg.apache.commons.math3.distribution.ExponentialDistribution3605c4d3_inverse_method_org.apache.commons.rng.core.source32.Well44497a:_deciles0.3634937790195007_0.7698452520340235_1.230528556588627_1.762348401992668_2.391357772931811_3.1612030249658347_4.153706174924479_5.552560797897647_7.943918570829458"></a>testSampling[12:
 data=org.apache.commons.math3.distribution.ExponentialDistribution@3605c4d3 
(inverse method) [org.apache.commons.rng.core.source32.Well44497a]: 
deciles=[0.3634937790195007, 0.7698452520340235, 1.230528556588627, 
1.762348401992668, 2.391357772931811, 3.1612030249658347, 4.153706174924479, 
5.552560797897647, 7.943918570829458]]</td>
+<td>0.095</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling13:_dataAhrens-Dieter_Exponential_deviate_org.apache.commons.rng.core.source32.MersenneTwister:_deciles0.3634937790195007_0.7698452520340235_1.230528556588627_1.762348401992668_2.391357772931811_3.1612030249658347_4.153706174924479_5.552560797897647_7.943918570829458"></a>testSampling[13:
 data=Ahrens-Dieter Exponential deviate 
[org.apache.commons.rng.core.source32.MersenneTwister]: 
deciles=[0.3634937790195007, 0.7698452520340235, 1.230528556588627, 
1.762348401992668, 2.391357772931811, 3.1612030249658347, 4.153706174924479, 
5.552560797897647, 7.943918570829458]]</td>
-<td>0.066</td></tr>
+<td>0.065</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling14:_dataorg.apache.commons.math3.distribution.FDistribution726a6b94_inverse_method_org.apache.commons.rng.core.source64.MersenneTwister64:_deciles0.25132155910061565_0.40500746322351755_0.5592508211415723_0.7286216166270089_0.926193099510064_1.1709676205859387_1.4985347331834313_1.9937297959199454_2.960534089081168"></a>testSampling[14:
 data=org.apache.commons.math3.distribution.FDistribution@726a6b94 (inverse 
method) [org.apache.commons.rng.core.source64.MersenneTwister64]: 
deciles=[0.25132155910061565, 0.40500746322351755, 0.5592508211415723, 
0.7286216166270089, 0.926193099510064, 1.1709676205859387, 1.4985347331834313, 
1.9937297959199454, 2.960534089081168]]</td>
-<td>7.093</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling14:_dataorg.apache.commons.math3.distribution.FDistribution585c13de_inverse_method_org.apache.commons.rng.core.source64.MersenneTwister64:_deciles0.25132155910061565_0.40500746322351755_0.5592508211415723_0.7286216166270089_0.926193099510064_1.1709676205859387_1.4985347331834313_1.9937297959199454_2.960534089081168"></a>testSampling[14:
 data=org.apache.commons.math3.distribution.FDistribution@585c13de (inverse 
method) [org.apache.commons.rng.core.source64.MersenneTwister64]: 
deciles=[0.25132155910061565, 0.40500746322351755, 0.5592508211415723, 
0.7286216166270089, 0.926193099510064, 1.1709676205859387, 1.4985347331834313, 
1.9937297959199454, 2.960534089081168]]</td>
+<td>6.788</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling15:_dataorg.apache.commons.math3.distribution.GammaDistribution6ad11a56_inverse_method_org.apache.commons.rng.core.source64.SplitMix64:_deciles2.479792175080062_3.6690409762319467_4.747673484788033_5.830553643619743_6.985989902285338_8.287188769839373_9.848098495168854_11.905902912887319_15.19033143843634"></a>testSampling[15:
 data=org.apache.commons.math3.distribution.GammaDistribution@6ad11a56 (inverse 
method) [org.apache.commons.rng.core.source64.SplitMix64]: 
deciles=[2.479792175080062, 3.6690409762319467, 4.747673484788033, 
5.830553643619743, 6.985989902285338, 8.287188769839373, 9.848098495168854, 
11.905902912887319, 15.19033143843634]]</td>
-<td>3.552</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling15:_dataorg.apache.commons.math3.distribution.GammaDistribution187eb9a8_inverse_method_org.apache.commons.rng.core.source64.SplitMix64:_deciles2.479792175080062_3.6690409762319467_4.747673484788033_5.830553643619743_6.985989902285338_8.287188769839373_9.848098495168854_11.905902912887319_15.19033143843634"></a>testSampling[15:
 data=org.apache.commons.math3.distribution.GammaDistribution@187eb9a8 (inverse 
method) [org.apache.commons.rng.core.source64.SplitMix64]: 
deciles=[2.479792175080062, 3.6690409762319467, 4.747673484788033, 
5.830553643619743, 6.985989902285338, 8.287188769839373, 9.848098495168854, 
11.905902912887319, 15.19033143843634]]</td>
+<td>3.544</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling16:_dataAhrens-Dieter-Marsaglia-Tsang_Gamma_deviate_org.apache.commons.rng.core.source64.XorShift1024Star:_deciles1.66305163919815E-8_4.626552940436175E-6_1.2367119291078265E-4_0.0012731121973517836_0.007779046812527896_0.034320294173031736_0.12241387604818703_0.3857918173560178_1.2172993131610457"></a>testSampling[16:
 data=Ahrens-Dieter-Marsaglia-Tsang Gamma deviate 
[org.apache.commons.rng.core.source64.XorShift1024Star]: 
deciles=[1.66305163919815E-8, 4.626552940436175E-6, 1.2367119291078265E-4, 
0.0012731121973517836, 0.007779046812527896, 0.034320294173031736, 
0.12241387604818703, 0.3857918173560178, 1.2172993131610457]]</td>
-<td>0.134</td></tr>
+<td>0.133</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling17:_dataAhrens-Dieter-Marsaglia-Tsang_Gamma_deviate_org.apache.commons.rng.core.source32.Well44497b:_deciles2.479792175080062_3.6690409762319467_4.747673484788033_5.830553643619743_6.985989902285338_8.287188769839373_9.848098495168854_11.905902912887319_15.19033143843634"></a>testSampling[17:
 data=Ahrens-Dieter-Marsaglia-Tsang Gamma deviate 
[org.apache.commons.rng.core.source32.Well44497b]: deciles=[2.479792175080062, 
3.6690409762319467, 4.747673484788033, 5.830553643619743, 6.985989902285338, 
8.287188769839373, 9.848098495168854, 11.905902912887319, 
15.19033143843634]]</td>
-<td>0.111</td></tr>
+<td>0.11</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling18:_dataorg.apache.commons.math3.distribution.GumbelDistribution522b2631_inverse_method_org.apache.commons.rng.core.source32.Well1024a:_deciles-4.662585990765498_-4.618533854425234_-4.58283209134007_-4.549247146669737_-4.514918910768455_-4.477377579972669_-4.4331955567214765_-4.375507381628579_-4.283204818740569"></a>testSampling[18:
 data=org.apache.commons.math3.distribution.GumbelDistribution@522b2631 
(inverse method) [org.apache.commons.rng.core.source32.Well1024a]: 
deciles=[-4.662585990765498, -4.618533854425234, -4.58283209134007, 
-4.549247146669737, -4.514918910768455, -4.477377579972669, 
-4.4331955567214765, -4.375507381628579, -4.283204818740569]]</td>
-<td>0.109</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling18:_dataorg.apache.commons.math3.distribution.GumbelDistribution726a6b94_inverse_method_org.apache.commons.rng.core.source32.Well1024a:_deciles-4.662585990765498_-4.618533854425234_-4.58283209134007_-4.549247146669737_-4.514918910768455_-4.477377579972669_-4.4331955567214765_-4.375507381628579_-4.283204818740569"></a>testSampling[18:
 data=org.apache.commons.math3.distribution.GumbelDistribution@726a6b94 
(inverse method) [org.apache.commons.rng.core.source32.Well1024a]: 
deciles=[-4.662585990765498, -4.618533854425234, -4.58283209134007, 
-4.549247146669737, -4.514918910768455, -4.477377579972669, 
-4.4331955567214765, -4.375507381628579, -4.283204818740569]]</td>
+<td>0.108</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling19:_dataorg.apache.commons.math3.distribution.LaplaceDistribution3ff57625_inverse_method_org.apache.commons.rng.core.source32.MultiplyWithCarry256:_deciles3.2871476903690393_7.168771901504733_9.439376506910452_11.050396112640426_12.3_13.549603887359575_15.160623493089547_17.43122809849527_21.312852309630962"></a>testSampling[19:
 data=org.apache.commons.math3.distribution.LaplaceDistribution@3ff57625 
(inverse method) [org.apache.commons.rng.core.source32.MultiplyWithCarry256]: 
deciles=[3.2871476903690393, 7.168771901504733, 9.439376506910452, 
11.050396112640426, 12.3, 13.549603887359575, 15.160623493089547, 
17.43122809849527, 21.312852309630962]]</td>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling19:_dataorg.apache.commons.math3.distribution.LaplaceDistribution6ad11a56_inverse_method_org.apache.commons.rng.core.source32.MultiplyWithCarry256:_deciles3.2871476903690393_7.168771901504733_9.439376506910452_11.050396112640426_12.3_13.549603887359575_15.160623493089547_17.43122809849527_21.312852309630962"></a>testSampling[19:
 data=org.apache.commons.math3.distribution.LaplaceDistribution@6ad11a56 
(inverse method) [org.apache.commons.rng.core.source32.MultiplyWithCarry256]: 
deciles=[3.2871476903690393, 7.168771901504733, 9.439376506910452, 
11.050396112640426, 12.3, 13.549603887359575, 15.160623493089547, 
17.43122809849527, 21.312852309630962]]</td>
 <td>0.066</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling20:_dataorg.apache.commons.math3.distribution.LevyDistribution1ee29c84_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_deciles-0.8170952528041721_-0.6352553341129142_-0.3904929024766046_-0.02504817096190437_0.5725630971214772_1.6656775903852206_4.020815044275315_10.74281802508122_47.03136943453277"></a>testSampling[20:
 data=org.apache.commons.math3.distribution.LevyDistribution@1ee29c84 (inverse 
method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 
331932042])]: deciles=[-0.8170952528041721, -0.6352553341129142, 
-0.3904929024766046, -0.02504817096190437, 0.5725630971214772, 
1.6656775903852206, 4.020815044275315, 10.74281802508122, 
47.03136943453277]]</td>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling20:_dataorg.apache.commons.math3.distribution.LevyDistribution522b2631_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_deciles-0.8170952528041721_-0.6352553341129142_-0.3904929024766046_-0.02504817096190437_0.5725630971214772_1.6656775903852206_4.020815044275315_10.74281802508122_47.03136943453277"></a>testSampling[20:
 data=org.apache.commons.math3.distribution.LevyDistribution@522b2631 (inverse 
method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 
331932042])]: deciles=[-0.8170952528041721, -0.6352553341129142, 
-0.3904929024766046, -0.02504817096190437, 0.5725630971214772, 
1.6656775903852206, 4.020815044275315, 10.74281802508122, 
47.03136943453277]]</td>
 <td>0.122</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling21:_dataorg.apache.commons.math3.distribution.LogNormalDistribution7c8326a4_inverse_method_org.apache.commons.rng.core.source32.KISSRandom:_deciles8.907169701010652_9.404082841478285_9.779506051245823_10.11214288431104_10.433272727548916_10.764600644324714_11.130744154201457_11.575097927814944_12.220849434936436"></a>testSampling[21:
 data=org.apache.commons.math3.distribution.LogNormalDistribution@7c8326a4 
(inverse method) [org.apache.commons.rng.core.source32.KISSRandom]: 
deciles=[8.907169701010652, 9.404082841478285, 9.779506051245823, 
10.11214288431104, 10.433272727548916, 10.764600644324714, 11.130744154201457, 
11.575097927814944, 12.220849434936436]]</td>
-<td>4.691</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling21:_dataorg.apache.commons.math3.distribution.LogNormalDistribution3ff57625_inverse_method_org.apache.commons.rng.core.source32.KISSRandom:_deciles8.907169701010652_9.404082841478285_9.779506051245823_10.11214288431104_10.433272727548916_10.764600644324714_11.130744154201457_11.575097927814944_12.220849434936436"></a>testSampling[21:
 data=org.apache.commons.math3.distribution.LogNormalDistribution@3ff57625 
(inverse method) [org.apache.commons.rng.core.source32.KISSRandom]: 
deciles=[8.907169701010652, 9.404082841478285, 9.779506051245823, 
10.11214288431104, 10.433272727548916, 10.764600644324714, 11.130744154201457, 
11.575097927814944, 12.220849434936436]]</td>
+<td>4.998</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling22:_dataLog-normal_deviate_Box-Muller_normalized_Gaussian_deviate_org.apache.commons.rng.core.source64.XorShift1024Star:_deciles8.907169701010652_9.404082841478285_9.779506051245823_10.11214288431104_10.433272727548916_10.764600644324714_11.130744154201457_11.575097927814944_12.220849434936436"></a>testSampling[22:
 data=Log-normal deviate [Box-Muller normalized Gaussian deviate 
[org.apache.commons.rng.core.source64.XorShift1024Star]]: 
deciles=[8.907169701010652, 9.404082841478285, 9.779506051245823, 
10.11214288431104, 10.433272727548916, 10.764600644324714, 11.130744154201457, 
11.575097927814944, 12.220849434936436]]</td>
-<td>0.181</td></tr>
+<td>0.179</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling23:_dataLog-normal_deviate_Box-Muller_normalized_Gaussian_deviate_org.apache.commons.rng.core.source64.XorShift1024Star:_deciles8.907169701010652_9.404082841478285_9.779506051245823_10.11214288431104_10.433272727548916_10.764600644324714_11.130744154201457_11.575097927814944_12.220849434936436"></a>testSampling[23:
 data=Log-normal deviate [Box-Muller normalized Gaussian deviate 
[org.apache.commons.rng.core.source64.XorShift1024Star]]: 
deciles=[8.907169701010652, 9.404082841478285, 9.779506051245823, 
10.11214288431104, 10.433272727548916, 10.764600644324714, 11.130744154201457, 
11.575097927814944, 12.220849434936436]]</td>
-<td>0.126</td></tr>
+<td>0.124</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling24:_dataLog-normal_deviate_Box-Muller_with_rejection_normalized_Gaussian_deviate_org.apache.commons.rng.core.source64.MersenneTwister64:_deciles8.907169701010652_9.404082841478285_9.779506051245823_10.11214288431104_10.433272727548916_10.764600644324714_11.130744154201457_11.575097927814944_12.220849434936436"></a>testSampling[24:
 data=Log-normal deviate [Box-Muller (with rejection) normalized Gaussian 
deviate [org.apache.commons.rng.core.source64.MersenneTwister64]]: 
deciles=[8.907169701010652, 9.404082841478285, 9.779506051245823, 
10.11214288431104, 10.433272727548916, 10.764600644324714, 11.130744154201457, 
11.575097927814944, 12.220849434936436]]</td>
-<td>0.109</td></tr>
+<td>0.113</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling25:_dataLog-normal_deviate_Ziggurat_normalized_Gaussian_deviate_org.apache.commons.rng.core.source32.MultiplyWithCarry256:_deciles8.907169701010652_9.404082841478285_9.779506051245823_10.11214288431104_10.433272727548916_10.764600644324714_11.130744154201457_11.575097927814944_12.220849434936436"></a>testSampling[25:
 data=Log-normal deviate [Ziggurat normalized Gaussian deviate 
[org.apache.commons.rng.core.source32.MultiplyWithCarry256]]: 
deciles=[8.907169701010652, 9.404082841478285, 9.779506051245823, 
10.11214288431104, 10.433272727548916, 10.764600644324714, 11.130744154201457, 
11.575097927814944, 12.220849434936436]]</td>
-<td>0.084</td></tr>
+<td>0.081</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling26:_dataorg.apache.commons.math3.distribution.LogisticDistribution77128dab_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xdd91bbb8ab9e0e65L_31_115147686__Cmres:_0xcb039dc328bbc40fL_31_8815805:_deciles-140.79210191518277_-134.39386250923593_-130.14118011845503_-126.65511970297342_-123.456_-120.25688029702658_-116.77081988154497_-112.51813749076406_-106.11989808481724"></a>testSampling[26:
 data=org.apache.commons.math3.distribution.LogisticDistribution@77128dab 
(inverse method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0xdd91bbb8ab9e0e65L, 31, 115147686] + Cmres: [0xcb039dc328bbc40fL, 31, 
8815805])]: deciles=[-140.79210191518277, -134.39386250923593, 
-130.14118011845503, -126.65511970297342, -123.456, -120.25688029702658, 
-116.77081988154497, -112.51813749076406, -106.11989808481724]]</td>
-<td>0.06</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling26:_dataorg.apache.commons.math3.distribution.LogisticDistribution1ee29c84_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xdd91bbb8ab9e0e65L_31_115147686__Cmres:_0xcb039dc328bbc40fL_31_8815805:_deciles-140.79210191518277_-134.39386250923593_-130.14118011845503_-126.65511970297342_-123.456_-120.25688029702658_-116.77081988154497_-112.51813749076406_-106.11989808481724"></a>testSampling[26:
 data=org.apache.commons.math3.distribution.LogisticDistribution@1ee29c84 
(inverse method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0xdd91bbb8ab9e0e65L, 31, 115147686] + Cmres: [0xcb039dc328bbc40fL, 31, 
8815805])]: deciles=[-140.79210191518277, -134.39386250923593, 
-130.14118011845503, -126.65511970297342, -123.456, -120.25688029702658, 
-116.77081988154497, -112.51813749076406, -106.11989808481724]]</td>
+<td>0.061</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling27:_dataorg.apache.commons.math3.distribution.NakagamiDistribution63429932_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xd8d98c13bebe26c9L_33_21922933__Cmres:_0x7b69342c0790221dL_31_373734283:_deciles4.482607522632576_4.599888957111267_4.685103750648354_4.758337770387297_4.827133236038792_4.896257594193904_4.97057191031466_5.058007621517846_5.180077757633529"></a>testSampling[27:
 data=org.apache.commons.math3.distribution.NakagamiDistribution@63429932 
(inverse method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0xd8d98c13bebe26c9L, 33, 21922933] + Cmres: [0x7b69342c0790221dL, 31, 
373734283])]: deciles=[4.482607522632576, 4.599888957111267, 4.685103750648354, 
4.758337770387297, 4.827133236038792, 4.896257594193904, 4.97057191031466, 
5.058007621517846, 5.180077757633529]]</td>
-<td>8.282</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling27:_dataorg.apache.commons.math3.distribution.NakagamiDistribution7c8326a4_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xd8d98c13bebe26c9L_33_21922933__Cmres:_0x7b69342c0790221dL_31_373734283:_deciles4.482607522632576_4.599888957111267_4.685103750648354_4.758337770387297_4.827133236038792_4.896257594193904_4.97057191031466_5.058007621517846_5.180077757633529"></a>testSampling[27:
 data=org.apache.commons.math3.distribution.NakagamiDistribution@7c8326a4 
(inverse method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0xd8d98c13bebe26c9L, 33, 21922933] + Cmres: [0x7b69342c0790221dL, 31, 
373734283])]: deciles=[4.482607522632576, 4.599888957111267, 4.685103750648354, 
4.758337770387297, 4.827133236038792, 4.896257594193904, 4.97057191031466, 
5.058007621517846, 5.180077757633529]]</td>
+<td>8.039</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling28:_dataorg.apache.commons.math3.distribution.ParetoDistribution69ce2f62_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0x11eab77f808cf641L_32_106120225__Cmres:_0x0f1505c780688cb5L_33_192641895:_deciles55.074313383177326_143.04583109008863_422.11049795027907_1472.1250669034735_6450.716651619402_39349.60019433535_404957.85425759235_1.0824440136808794E7_2.9776288373121433E9"></a>testSampling[28:
 data=org.apache.commons.math3.distribution.ParetoDistribution@69ce2f62 
(inverse method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0x11eab77f808cf641L, 32, 106120225] + Cmres: [0x0f1505c780688cb5L, 33, 
192641895])]: deciles=[55.074313383177326, 143.04583109008863, 
422.11049795027907, 1472.1250669034735, 6450.716651619402, 39349.60019433535, 
404957.85425759235, 1.0824440136808794E7, 2.9776288373121433E9]]</td>
-<td>2.603</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling28:_dataorg.apache.commons.math3.distribution.ParetoDistribution77128dab_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0x11eab77f808cf641L_32_106120225__Cmres:_0x0f1505c780688cb5L_33_192641895:_deciles55.074313383177326_143.04583109008863_422.11049795027907_1472.1250669034735_6450.716651619402_39349.60019433535_404957.85425759235_1.0824440136808794E7_2.9776288373121433E9"></a>testSampling[28:
 data=org.apache.commons.math3.distribution.ParetoDistribution@77128dab 
(inverse method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0x11eab77f808cf641L, 32, 106120225] + Cmres: [0x0f1505c780688cb5L, 33, 
192641895])]: deciles=[55.074313383177326, 143.04583109008863, 
422.11049795027907, 1472.1250669034735, 6450.716651619402, 39349.60019433535, 
404957.85425759235, 1.0824440136808794E7, 2.9776288373121433E9]]</td>
+<td>2.792</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling29:_dataInverse_method_for_Pareto_distribution_org.apache.commons.rng.core.source64.XorShift1024Star:_deciles55.074313383177326_143.04583109008863_422.11049795027907_1472.1250669034735_6450.716651619402_39349.60019433535_404957.85425759235_1.0824440136808794E7_2.9776288373121433E9"></a>testSampling[29:
 data=[Inverse method for Pareto distribution 
org.apache.commons.rng.core.source64.XorShift1024Star]: 
deciles=[55.074313383177326, 143.04583109008863, 422.11049795027907, 
1472.1250669034735, 6450.716651619402, 39349.60019433535, 404957.85425759235, 
1.0824440136808794E7, 2.9776288373121433E9]]</td>
 <td>0.088</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling30:_dataorg.apache.commons.math3.distribution.TDistributionc9d82f9_inverse_method_org.apache.commons.rng.core.source32.ISAACRandom:_deciles-4.337458510976919_-1.6368180621921147_-0.8027617784262737_-0.3471538436435526_0.0_0.3471538436435524_0.8027617784262743_1.6368180621921147_4.33745851097692"></a>testSampling[30:
 data=org.apache.commons.math3.distribution.TDistribution@c9d82f9 (inverse 
method) [org.apache.commons.rng.core.source32.ISAACRandom]: 
deciles=[-4.337458510976919, -1.6368180621921147, -0.8027617784262737, 
-0.3471538436435526, 0.0, 0.3471538436435524, 0.8027617784262743, 
1.6368180621921147, 4.33745851097692]]</td>
-<td>8.059</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling30:_dataorg.apache.commons.math3.distribution.TDistribution63429932_inverse_method_org.apache.commons.rng.core.source32.ISAACRandom:_deciles-4.337458510976919_-1.6368180621921147_-0.8027617784262737_-0.3471538436435526_0.0_0.3471538436435524_0.8027617784262743_1.6368180621921147_4.33745851097692"></a>testSampling[30:
 data=org.apache.commons.math3.distribution.TDistribution@63429932 (inverse 
method) [org.apache.commons.rng.core.source32.ISAACRandom]: 
deciles=[-4.337458510976919, -1.6368180621921147, -0.8027617784262737, 
-0.3471538436435526, 0.0, 0.3471538436435524, 0.8027617784262743, 
1.6368180621921147, 4.33745851097692]]</td>
+<td>8.304</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling31:_dataorg.apache.commons.math3.distribution.TriangularDistribution6f012914_inverse_method_org.apache.commons.rng.core.source32.MersenneTwister:_deciles-0.7157400974039997_-0.6951578658357382_-0.6793645640805788_-0.6660501948079993_-0.65432_-0.6425898051920007_-0.6292754359194213_-0.6134821341642617_-0.5928999025960003"></a>testSampling[31:
 data=org.apache.commons.math3.distribution.TriangularDistribution@6f012914 
(inverse method) [org.apache.commons.rng.core.source32.MersenneTwister]: 
deciles=[-0.7157400974039997, -0.6951578658357382, -0.6793645640805788, 
-0.6660501948079993, -0.65432, -0.6425898051920007, -0.6292754359194213, 
-0.6134821341642617, -0.5928999025960003]]</td>
-<td>0.054</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling31:_dataorg.apache.commons.math3.distribution.TriangularDistribution69ce2f62_inverse_method_org.apache.commons.rng.core.source32.MersenneTwister:_deciles-0.7157400974039997_-0.6951578658357382_-0.6793645640805788_-0.6660501948079993_-0.65432_-0.6425898051920007_-0.6292754359194213_-0.6134821341642617_-0.5928999025960003"></a>testSampling[31:
 data=org.apache.commons.math3.distribution.TriangularDistribution@69ce2f62 
(inverse method) [org.apache.commons.rng.core.source32.MersenneTwister]: 
deciles=[-0.7157400974039997, -0.6951578658357382, -0.6793645640805788, 
-0.6660501948079993, -0.65432, -0.6425898051920007, -0.6292754359194213, 
-0.6134821341642617, -0.5928999025960003]]</td>
+<td>0.053</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling32:_dataorg.apache.commons.math3.distribution.UniformRealDistribution18fdb6cf_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_deciles-0.9122000000000001_-0.7264_-0.5406000000000001_-0.3548_-0.16900000000000004_0.016799999999999926_0.2025999999999999_0.3884000000000001_0.5742"></a>testSampling[32:
 data=org.apache.commons.math3.distribution.UniformRealDistribution@18fdb6cf 
(inverse method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 
331932042])]: deciles=[-0.9122000000000001, -0.7264, -0.5406000000000001, 
-0.3548, -0.16900000000000004, 0.016799999999999926, 0.2025999999999999, 
0.3884000000000001, 0.5742]]</td>
-<td>0.032</td></tr>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling32:_dataorg.apache.commons.math3.distribution.UniformRealDistributionc9d82f9_inverse_method_org.apache.commons.rng.core.source64.TwoCmres_Cmres:_0xedce446814d3b3d9L_33_330658535__Cmres:_0xc5b3cf786c806df7L_33_331932042:_deciles-0.9122000000000001_-0.7264_-0.5406000000000001_-0.3548_-0.16900000000000004_0.016799999999999926_0.2025999999999999_0.3884000000000001_0.5742"></a>testSampling[32:
 data=org.apache.commons.math3.distribution.UniformRealDistribution@c9d82f9 
(inverse method) [org.apache.commons.rng.core.source64.TwoCmres (Cmres: 
[0xedce446814d3b3d9L, 33, 330658535] + Cmres: [0xc5b3cf786c806df7L, 33, 
331932042])]: deciles=[-0.9122000000000001, -0.7264, -0.5406000000000001, 
-0.3548, -0.16900000000000004, 0.016799999999999926, 0.2025999999999999, 
0.3884000000000001, 0.5742]]</td>
+<td>0.034</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling33:_dataUniform_deviate_org.apache.commons.rng.core.source64.MersenneTwister64:_deciles-0.9122000000000001_-0.7264_-0.5406000000000001_-0.3548_-0.16900000000000004_0.016799999999999926_0.2025999999999999_0.3884000000000001_0.5742"></a>testSampling[33:
 data=Uniform deviate [org.apache.commons.rng.core.source64.MersenneTwister64]: 
deciles=[-0.9122000000000001, -0.7264, -0.5406000000000001, -0.3548, 
-0.16900000000000004, 0.016799999999999926, 0.2025999999999999, 
0.3884000000000001, 0.5742]]</td>
-<td>0.027</td></tr>
+<td>0.026</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
-<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling34:_dataorg.apache.commons.math3.distribution.WeibullDistributiond02f8d_inverse_method_org.apache.commons.rng.core.source32.Well44497b:_deciles98.43317964182971_98.54204367035726_98.61014372612742_98.66233178797697_98.70669752962779_98.74728354901744_98.78700693061647_98.82925155118646_98.88140176820396"></a>testSampling[34:
 data=org.apache.commons.math3.distribution.WeibullDistribution@d02f8d (inverse 
method) [org.apache.commons.rng.core.source32.Well44497b]: 
deciles=[98.43317964182971, 98.54204367035726, 98.61014372612742, 
98.66233178797697, 98.70669752962779, 98.74728354901744, 98.78700693061647, 
98.82925155118646, 98.88140176820396]]</td>
-<td>0.25</td></tr></table></div>
+<td><a 
name="TC_org.apache.commons.rng.sampling.distribution.ContinuousSamplerParametricTest.testSampling34:_dataorg.apache.commons.math3.distribution.WeibullDistribution6f012914_inverse_method_org.apache.commons.rng.core.source32.Well44497b:_deciles98.43317964182971_98.54204367035726_98.61014372612742_98.66233178797697_98.70669752962779_98.74728354901744_98.78700693061647_98.82925155118646_98.88140176820396"></a>testSampling[34:
 data=org.apache.commons.math3.distribution.WeibullDistribution@6f012914 
(inverse method) [org.apache.commons.rng.core.source32.Well44497b]: 
deciles=[98.43317964182971, 98.54204367035726, 98.61014372612742, 
98.66233178797697, 98.70669752962779, 98.74728354901744, 98.78700693061647, 
98.82925155118646, 98.88140176820396]]</td>
+<td>0.325</td></tr></table></div>
 <div class="section">
 <h3><a name="CollectionSamplerTest"></a>CollectionSamplerTest</h3><a 
name="org.apache.commons.rng.sampling.CollectionSamplerTest"></a>
 <table border="1" class="bodyTable">
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.CollectionSamplerTest.testSamplePrecondition"></a>testSamplePrecondition</td>
-<td>0.002</td></tr>
+<td>0.001</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.CollectionSamplerTest.testSampleTrivial"></a>testSampleTrivial</td>
-<td>0</td></tr></table></div>
+<td>0.001</td></tr></table></div>
 <div class="section">
 <h3><a 
name="DiscreteProbabilityCollectionSamplerTest"></a>DiscreteProbabilityCollectionSamplerTest</h3><a
 
name="org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSamplerTest"></a>
 <table border="1" class="bodyTable">
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSamplerTest.testPrecondition1"></a>testPrecondition1</td>
-<td>0.003</td></tr>
+<td>0.002</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSamplerTest.testPrecondition2"></a>testPrecondition2</td>
@@ -773,18 +773,18 @@ function toggleDisplay(elementId) {
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSamplerTest.testPrecondition5"></a>testPrecondition5</td>
-<td>0</td></tr>
+<td>0.001</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSamplerTest.testSample"></a>testSample</td>
-<td>2.13</td></tr></table></div>
+<td>2.107</td></tr></table></div>
 <div class="section">
 <h3><a name="PermutationSamplerTest"></a>PermutationSamplerTest</h3><a 
name="org.apache.commons.rng.sampling.PermutationSamplerTest"></a>
 <table border="1" class="bodyTable">
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.PermutationSamplerTest.testSampleBoundaryCase"></a>testSampleBoundaryCase</td>
-<td>0</td></tr>
+<td>0.001</td></tr>
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.PermutationSamplerTest.testSubSampleChiSquareTest"></a>testSubSampleChiSquareTest</td>
@@ -812,7 +812,7 @@ function toggleDisplay(elementId) {
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.PermutationSamplerTest.testSamplePrecondition3"></a>testSamplePrecondition3</td>
-<td>0.001</td></tr>
+<td>0</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.PermutationSamplerTest.testSamplePrecondition4"></a>testSamplePrecondition4</td>
@@ -820,7 +820,7 @@ function toggleDisplay(elementId) {
 <tr class="b">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.PermutationSamplerTest.testSampleChiSquareTest"></a>testSampleChiSquareTest</td>
-<td>0.001</td></tr>
+<td>0.003</td></tr>
 <tr class="a">
 <td><img src="images/icon_success_sml.gif" alt="" /></td>
 <td><a 
name="TC_org.apache.commons.rng.sampling.PermutationSamplerTest.testNaturalZero"></a>testNaturalZero</td>
@@ -843,7 +843,7 @@ function toggleDisplay(elementId) {
 <tr class="b">
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name="TC_org.apache.commons.rng.sampling.CombinationSamplerTest.testKequalsZeroThrows"></a>testKequalsZeroThrows</td>
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 <div class="section">
 <h3><a 
name="LargeMeanPoissonSamplerTest"></a>LargeMeanPoissonSamplerTest</h3><a 
name="org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSamplerTest"></a>
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name="TC_org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSamplerTest.testConstructorThrowsWithNegativeFractionalMean"></a>testConstructorThrowsWithNegativeFractionalMean</td>
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name="TC_org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSamplerTest.testConstructorThrowsWithMeanLargerThanUpperBound"></a>testConstructorThrowsWithMeanLargerThanUpperBound</td>
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 <td><a 
name="TC_org.apache.commons.rng.sampling.distribution.PoissonSamplerCacheTest.testCanComputeSameSamplesAsPoissonSamplerWithCacheAboveTheUpperRange"></a>testCanComputeSameSamplesAsPoissonSamplerWithCacheAboveTheUpperRange</td>
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