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From bugzi...@apache.org
Subject DO NOT REPLY [Bug 20279] - [math] chi-squared distribution (part of the distribution collection)
Date Wed, 28 May 2003 01:12:07 GMT
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http://nagoya.apache.org/bugzilla/show_bug.cgi?id=20279

[math] chi-squared distribution (part of the distribution collection)





------- Additional Comments From steitzp@yahoo.com  2003-05-28 01:12 -------
I like the generic CDF inversion capability provided by 
AbstractContinousDistribution, and the ContinuousDistribution interface.  
Personally, I do not see the implementation as over-engineered for what it does 
and if we want to tackle the critical value problem for statistical tests 
generically, I can't see a significantly simpler or more flexible way to do 
it.  It would be nice to extend/modify/replace TestStatistic with a hypothesis-
testing capability using the distribution framework to compute critical values 
for t (need to add this distribution), chi-square and maybe F.  We will also 
obviously have to fill out the docs on the framework.  What will likely be most 
useful to applications are the distribution implementations and any inferential 
machinery that we build on top of them.

I guess there is no postponing the packaging discussion.  stat is sort of 
obvious and I guess stat.distribution makes sense, assuming we want to move 
forward with the framework (which I personally think is a good idea).  In an 
earlier post, I had designated something like "analysis" or "numerical", which 
would be a good home for the rootfinding stuff.  Probably should take this to 
the list.

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