[jira] [Commented] (STATISTICS-27) Truncated Normal Distribution

["Marko Malenic (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/STATISTICS-27?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17288104#comment-17288104 ] 

Marko Malenic commented on STATISTICS-27:
-----------------------------------------

https://github.com/apache/commons-statistics/pull/26

> Truncated Normal Distribution
> -----------------------------
>
>                 Key: STATISTICS-27
>                 URL: https://issues.apache.org/jira/browse/STATISTICS-27
>             Project: Apache Commons Statistics
>          Issue Type: New Feature
>            Reporter: Marko Malenic
>            Priority: Major
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> This involves a new class added to distribution which implements a truncated normal distribution.
> This is like the normal distribution, except values are bounded to a maximum or minimum (or both), unlike the normal distribution whose domain is infinite.
> https://en.wikipedia.org/wiki/Truncated_normal_distribution
> Implementation would be similar to how NormalDistribution is already structured.
> There's a few ways to generate numbers, some of which are faster than others. 
> Inverse transform sampling could be used for simplicity.



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