[ https://issues.apache.org/jira/browse/MATH878?page=com.atlassian.jira.plugin.system.issuetabpanels:alltabpanel
]
Phil Steitz resolved MATH878.

Resolution: Fixed
In r1408172, I changed method names to match the conventions of the other classes in the inference
package: g() returns the g stat, gTest does tests, etc. I added Gtest statistics to TestUtils
in r1408173 and updated the user guide in r1408174.
Thanks again for the patch.
> GTest (LogLikelihood ratio  LLR test) in math.stat.inference
> 
>
> Key: MATH878
> URL: https://issues.apache.org/jira/browse/MATH878
> Project: Commons Math
> Issue Type: New Feature
> Environment: Netbeans
> Reporter: Radoslav Tsvetkov
> Labels: features, test
> Fix For: 3.1
>
> Attachments: MATH878_gTest_12102012.patch, MATH878_gTest_15102012.patch, MATH878_gTest_26102012.patch,
vcsdiff16294.patch
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> 1. Implementation of GTest (LogLikelihood ratio LLR test for independence and goodnesoffit)
> 2. Reference: http://en.wikipedia.org/wiki/Gtest
> 3. ReasonsUsefulness: Gtests are tests are increasingly being used in situations where
chisquared tests were previously recommended.
> The approximation to the theoretical chisquared distribution for the Gtest is better
than for the Pearson chisquared tests. In cases where Observed >2*Expected for some cell
case, the Gtest is always better than the chisquared test.
> For testing goodnessoffit the Gtest is infinitely more efficient than the chi squared
test in the sense of Bahadur, but the two tests are equally efficient in the sense of Pitman
or in the sense of Hodge and Lehman.

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