[jira] [Resolved] (MATH-1208) EmpiricalDistribution cumulativeProbability can return NaN when evaluated within a constant bin

["Phil Steitz (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MATH-1208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Phil Steitz resolved MATH-1208.
-------------------------------
    Resolution: Fixed

Fixed in 
master: b148046add84f6c5bd19aeceb10c1a0fcf2e1283
3.x: d41364faa4f73fc885dcc9e99a838e8fa4c95998

Fix was to eliminate interpolation within bin for bins having constant kernel distributions assigned.  For any x within a bin with constant kernel, cumulativeProbability(x) is now the sum of the bin masses below the bin containing x plus the full mass of the bin to which x belongs.

> EmpiricalDistribution cumulativeProbability can return NaN when evaluated within a constant bin
> -----------------------------------------------------------------------------------------------
>
>                 Key: MATH-1208
>                 URL: https://issues.apache.org/jira/browse/MATH-1208
>             Project: Commons Math
>          Issue Type: Bug
>    Affects Versions: 3.4.1
>            Reporter: Phil Steitz
>             Fix For: 4.0, 3.5
>
>
> If x belongs to a bin with no variance or to which a ConstantRealDistribution kernel has been assigned, cumulativeProbability(x) can return NaN.



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