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https://issues.apache.org/jira/browse/MATH-418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Venkatesha Murthy TS updated MATH-418:
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Attachment: psquare-23-june.patch
Hi Phil,
Thanks for committing.
A small change however and i have attached the patch against today.
a) the public double quantile() method is a simple getter method which just
returns the set quantile during construction. So its not the result. Basically
its the p/100 value which is within [0.0-1.0]
b) Next in the test method testDistribution() of PSquarePercentileTest.java the
fixed seed random generator need to be used even in here as well. '
Regards
Venkatesh
> add a storeless version of Percentile
> -------------------------------------
>
> Key: MATH-418
> URL: https://issues.apache.org/jira/browse/MATH-418
> Project: Commons Math
> Issue Type: New Feature
> Affects Versions: 2.1
> Reporter: Luc Maisonobe
> Fix For: 3.4
>
> Attachments: 30-may-2014-418-psquare-patch, 418-psquare-patch,
> psquare-23-june.patch, psquare-patch
>
>
> The Percentile class can handle only in-memory data.
> It would be interesting to use an on-line algorithm to estimate quantiles as
> a storeless statistic.
> An example of such an algorithm is the exponentially weighted stochastic
> approximation described in a 2000 paper by Fei Chen , Diane Lambert and
> José C. Pinheiro "Incremental Quantile Estimation for Massive Tracking" which
> can be retrieved from CiteSeerX at
> [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.1580].
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