Should I open a new issue for trunk (3.0) or how should I deal with
the issue tracking?

2010/12/26 Phil Steitz (JIRA) <j...@apache.org>:
>
>    [ 
> https://issues.apache.org/jira/browse/MATH-385?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12975178#action_12975178
>  ]
>
> Phil Steitz commented on MATH-385:
> ----------------------------------
>
> Looks good to me.
>
>> Characteristic (support, mean, variance, ...) on Distributions
>> --------------------------------------------------------------
>>
>>                 Key: MATH-385
>>                 URL: https://issues.apache.org/jira/browse/MATH-385
>>             Project: Commons Math
>>          Issue Type: New Feature
>>            Reporter: Mikkel Meyer Andersen
>>            Assignee: Mikkel Meyer Andersen
>>             Fix For: 2.2
>>
>>         Attachments: MATH385-PATCH1, MATH385-PATCH2, MATH385-PATCH3
>>
>>   Original Estimate: 5h
>>  Remaining Estimate: 5h
>>
>> I wish that the Distributions could contain some characteristics. For 
>> example support, mean, and variance.
>> Support:
>> AbstractContinuousDistribution and AbstractIntegerDistribution should have 
>> double getSupport{Lower, Upper}Bound() and int getSupport{Lower, 
>> Upper}Bound(), respectively. Also methods a la boolean isSupport{Lower, 
>> Upper}BoundInclusive() on AbstractContinuousDistribution should reflect if 
>> the support is open of closed. In practise the implemented distributions are 
>> easy since the support for all continuous distributions are real intervals 
>> (connected sets), and the support for all the discrete distributions are 
>> connected integer sets. This means that the lower and upper bound (together 
>> with isSupport{Lower, Upper}BoundInclusive() on 
>> AbstractContinuousDistribution because it is not needed on the discrete 
>> distributions because of their nature) are sufficient for determine the 
>> support.
>> Mean and variance:
>> double get{Mean, Variance}() should be on AbstractDistribution.
>> With such characteristic an invalidateParameters-method might come in handy 
>> because they often depend on the parameters. The characteristics should not 
>> be calculated before the first time they are get'ted, and when calculated, 
>> they should be saved for later use.  When parameters change, an 
>> invalidateParameters-method should be called to force the characteristics to 
>> be recalculated.
>> Values such as Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY, and 
>> Double.NaN should be used where appropriate.
>
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