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https://issues.apache.org/jira/browse/MATH-1133?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14045983#comment-14045983
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Phil Steitz commented on MATH-1133:
-----------------------------------
We should discuss on the mailing list. My inclination is to leave things as
they are. NaNStrategy exists because for rank transformations we *have* to do
something special for NaNs. In floating point computations, we have
traditionally just allowed NaNs to propagate.
> NaNStrategy for UnivariateStatistic and friends
> -----------------------------------------------
>
> Key: MATH-1133
> URL: https://issues.apache.org/jira/browse/MATH-1133
> Project: Commons Math
> Issue Type: Improvement
> Reporter: Sergei Lebedev
> Priority: Minor
>
> In the current implementation univariate statistics don't allow to specify
> NaN behaviour. For instance, the following code simply yields NaN as the
> result.
> {code:java}
> Mean mean = new Mean();
> mean.increment(42);
> mean.increment(Double.NaN);
> System.out.println(mean.getResult()); // prints 'NaN'.
> {code}
> Is it possible to parametrize all available statistics by NaNStrategy with
> the default behaviour being a no-op?
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