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https://issues.apache.org/jira/browse/STATISTICS-31?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17383324#comment-17383324
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Gilles Sadowski edited comment on STATISTICS-31 at 7/19/21, 12:56 PM:
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{quote}JUnit 5 invok[es] tests only on the class where they are annotated.
{quote}
I didn't know. Is that a _feature_?
If so, it would probably be good to refactor so that we don't rely on
inheritance (which is now confusing and otherwise not recommend practice IIRC
for unit tests).
was (Author: erans):
bq. I JUnit 5 invok[es] tests only on the class where they are annotated.
I didn't know. Is that a _feature_?
If so, it would probably be good to refactor so that we don't rely on
inheritance (which is now confusing and otherwise not recommend practice IIRC
for unit tests).
> 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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