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From "Gilles (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MATH-598) Improving RandomDataTest
Date Mon, 23 Jul 2012 15:19:35 GMT

    [ https://issues.apache.org/jira/browse/MATH-598?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13420708#comment-13420708
] 

Gilles commented on MATH-598:
-----------------------------

Most of the methods are now relocated (adapted and renamed "sample") into the distribution
classes (in package "o.a.c.m.distribution"), following issue MATH-823.
If this improvement is to be done, it should be implemented in the {{IntegerDistributionAbstractTest}}
and {{RealDistributionAbstractTest}} test classes (see method {{testSampling}}).

                
> Improving RandomDataTest
> ------------------------
>
>                 Key: MATH-598
>                 URL: https://issues.apache.org/jira/browse/MATH-598
>             Project: Commons Math
>          Issue Type: Improvement
>            Reporter: Mikkel Meyer Andersen
>            Priority: Minor
>             Fix For: 3.1
>
>
> The tests is non-consistent and not good enough. 
> To quote [~psteitz] from [MATH-597|https://issues.apache.org/jira/browse/MATH-597]:
> {quote}
> Using testUtils.getQuartiles and chi-square is probably "best of breed." We might think
about something fun like adding other quantile splits or even randomly generating quantiles
(subject to bin size constraints).
> {quote}

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