Hi:
This is more a statistical question than an R question (apologies!).
I have some income data as follows:
$5000 : 598
$5000-$1 : 2586
$65001-$7 : 202
$70001+ : 446
I.e an open ended income class for incomes $70k.
What would be the best way to estimate mean income?
Something
-
to-me-2.html
Erwin Kalvelagen
Amsterdam Optimization Modeling Group
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can drop the binary variable d0.
The condition one of a_p,a_m is zero holds
automatically as we are minimizing a_p+a_m.
Erwin Kalvelagen
Amsterdam Optimization Modeling Group
er...@amsterdamoptimization.com
http
automatically in the optimal solution.
Examples:
x=10: d1=10,d2=0 = abs(x)=d1+d2=10
x=-2: d1=0,d2=2 = abs(x)=d1+d2=2
Erwin Kalvelagen
Amsterdam Optimization Modeling Group
er...@amsterdamoptimization.com
http://amsterdamoptimization.com
=0
x[i] in {0,1}
Erwin Kalvelagen
Amsterdam Optimization Modeling Group
er...@amsterdamoptimization.com
http://amsterdamoptimization.com
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-selecting.html.
Erwin Kalvelagen
Amsterdam Optimization Modeling Group
er...@amsterdamoptimization.com
http://amsterdamoptimization.com
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Erwin Kalvelagen
Amsterdam Optimization Modeling Group
er...@amsterdamoptimization.com
http://amsterdamoptimization.com
On Sat, Jan 16, 2010 at 11:42 PM, Ravi Varadhan
I also have doubts this can be formulated correctly as a linear assignment
problem. You may want to check the results with a small example.
Erwin
Erwin Kalvelagen
Amsterdam Optimization Modeling Group
er
. For
small problems you often get the optimal solution, but the error caused by
linearizing the objective becomes larger if the problems are larger. But the
approximation is actually very good.
Erwin
Erwin Kalvelagen
Amsterdam Optimization
Erwin Kalvelagen
Amsterdam Optimization Modeling Group
er...@amsterdamoptimization.com
http://amsterdamoptimization.com
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Erwin Kalvelagen
Amsterdam Optimization Modeling Group
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alpha beta
-0.7558506 0.0002816 5.3169457
residual sum-of-squares: 263.6
Number of iterations to convergence: 3
Achieved convergence tolerance: 1.599e-06
Erwin Kalvelagen
Amsterdam Optimization Modeling Group
er
See also:
http://yetanothermathprogrammingconsultant.blogspot.com/2009/11/assignment-problem.html
http://yetanothermathprogrammingconsultant.blogspot.com/2009/11/assignment-problem.html
Erwin Kalvelagen
Amsterdam Optimization
- Optimal: Objective = 1.6173194067e+003
Network time =1.58 sec. Iterations = 209126 (102313)
Even solved as an LP this takes about 150 seconds.
(The solutions are the same as reported by solve_LSAP).
Erwin Kalvelagen
Amsterdam
.
Erwin Kalvelagen
Amsterdam Optimization Modeling Group
er...@amsterdamoptimization.com
http://amsterdamoptimization.com
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PLEASE do read
Erwin Kalvelagen
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http://amsterdamoptimization.com
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