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https://issues.apache.org/jira/browse/MATH-418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14004926#comment-14004926
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Venkatesha Murthy TS commented on MATH-418:
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just wanted to add few points here:
First of, many thanks for suggesting a good set of comments which i have tried
incorporating allmost all of them.
The new patch to be used for review is 418-psquare-patch,
a) The earlier reasons for using variables such as n, np etc were to indicate
the variables as close as possible to resemble variables used in the paper.
However i have already incorporated self describing long names in the new patch
b) is there a way to put these rules in checkstyle or such things to automate;
as its hard to remember to manually do these every time. Please let me know if
this is available somewhere so i can use
c) Do i need to remove the earlier patch file as having 2 patch files may
confuse. Please let know.
thanks again
venkat.
> 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: 4.0
>
> Attachments: 418-psquare-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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