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- Q17099224 subject Q8646045.
- Q17099224 subject Q8681944.
- Q17099224 abstract "In statistics, the multivariate Behrens–Fisher problem is the problem of testing for the equality of means from two multivariate normal distributions when the covariance matrices are unknown and possibly not equal. Since this is a generalization of the univariate Behrens-Fisher problem, it inherits all of the difficulties that arise in the univariate problem.".
- Q17099224 wikiPageWikiLink Q1099110.
- Q17099224 wikiPageWikiLink Q1134404.
- Q17099224 wikiPageWikiLink Q1149000.
- Q17099224 wikiPageWikiLink Q12483.
- Q17099224 wikiPageWikiLink Q1393230.
- Q17099224 wikiPageWikiLink Q177144.
- Q17099224 wikiPageWikiLink Q1930697.
- Q17099224 wikiPageWikiLink Q321102.
- Q17099224 wikiPageWikiLink Q5532498.
- Q17099224 wikiPageWikiLink Q7049201.
- Q17099224 wikiPageWikiLink Q814556.
- Q17099224 wikiPageWikiLink Q8646045.
- Q17099224 wikiPageWikiLink Q8681944.
- Q17099224 comment "In statistics, the multivariate Behrens–Fisher problem is the problem of testing for the equality of means from two multivariate normal distributions when the covariance matrices are unknown and possibly not equal. Since this is a generalization of the univariate Behrens-Fisher problem, it inherits all of the difficulties that arise in the univariate problem.".
- Q17099224 label "Multivariate Behrens–Fisher problem".