[ https://issues.apache.org/jira/browse/STATISTICS-36?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alex Herbert resolved STATISTICS-36. ------------------------------------ Fix Version/s: 1.0 Resolution: Fixed Updated the BrentSolver accuracy thresholds in commit: 5b9cc0a230421ac01ca19c5de8b8cfeb535d7a27 Inverse probability functions should be accurate to close to 1 ULP. > Optimise the default inverse CDF function for continuous distributions > ---------------------------------------------------------------------- > > Key: STATISTICS-36 > URL: https://issues.apache.org/jira/browse/STATISTICS-36 > Project: Apache Commons Statistics > Issue Type: Improvement > Components: distribution > Affects Versions: 1.0 > Reporter: Alex Herbert > Assignee: Alex Herbert > Priority: Minor > Fix For: 1.0 > > > Many distributions only compute the inverse CDF to 1e-9 relative error. Some > fail to compute when the input p value maps to a very small x value (e.g. > 1e-50). This is related to the defaults for the brent solver used in the > default implementation. > Investigation of tolerances in the brent solver discovered a bug when > evaluating very small objective functions ([NUMBERS-168]). > The brent solver requires a release to be used with this fix so work can use > a local copy until all issues with it have been resolved, and the changes > ported back to numbers. > -- This message was sent by Atlassian Jira (v8.20.1#820001)