[ 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)