[
https://issues.apache.org/jira/browse/STATISTICS-27?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Alex Herbert resolved STATISTICS-27.
------------------------------------
Resolution: Implemented
In git master
Commit cd24fa9ec02e712794360f81b6753cc9638a9c10
> 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: 20m
> 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.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)