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https://issues.apache.org/jira/browse/STATISTICS-31?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17383299#comment-17383299
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Gilles Sadowski commented on STATISTICS-31:
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{quote}Do we really want to make this PR even larger?
{quote}
No. But you are welcome to file another report, and the corresponding PR.
PR #27 looks good, overall; there are a few nits e.g.
* Javadoc ending with {{**/}}
* tabulation changes (e.g. in {{BetaDistributionTest}}) that should rather
belong in a dedicated PR
* missing {{final}} keywords (in unit tests)
* mention of {{// These were created using WolframAlpha}} sometimes comes with
the query, sometimes not
I wonder why the {{protected}} methods in class
{{ContinuousDistributionAbstractTest}} aren't annotated with {{@Test}}, rather
than be called from other methods in the same class.
> Add survival probability function to continuous distributions
> -------------------------------------------------------------
>
> Key: STATISTICS-31
> URL: https://issues.apache.org/jira/browse/STATISTICS-31
> Project: Apache Commons Statistics
> Issue Type: New Feature
> Reporter: Benjamin W Trent
> Priority: Major
> Time Spent: 40m
> Remaining Estimate: 0h
>
> It is useful to know the [survival
> function|[https://en.wikipedia.org/wiki/Survival_function]] of a number given
> a continuous distribution.
> While this can be approximated with
> {noformat}
> 1 - cdf(x){noformat}
> , there is an opportunity for greater accuracy in certain distributions.
>
> A good example of this is the gamma distribution. The survival function for
> that distribution would probably look similar to:
>
> ```java
> @Override
> public double survivalProbability(double x) {
> if (x <= SUPPORT_LO)
> { return 1; }
> else if (x >= SUPPORT_HI)
> { return 0; }
> return RegularizedGamma.Q.value(shape, x / scale);
> }
> ```
>
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