Generalized \(p\)-values and generalized confidence regions for the multivariate Behrens-Fisher problem and MANOVA.
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Publication:1421869
DOI10.1016/S0047-259X(03)00065-4zbMath1035.62054WikidataQ57255667 ScholiaQ57255667MaRDI QIDQ1421869
Thomas Mathew, Samaradasa Weerahandi, Jinadasa K. Gamage
Publication date: 3 February 2004
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
HeteroscedasticityType I errorMANOVAGeneralized p-valueBehrens-Fischer problemGeneralized confidence regionGeneralized test variable
Parametric tolerance and confidence regions (62F25) Hypothesis testing in multivariate analysis (62H15)
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Cites Work
- Unnamed Item
- Unnamed Item
- Generalized \(p\)-values and the multivariate Behrens-Fisher problem
- Generalized Confidence Intervals
- A Bayesian Solution to the Multivariate Behrens-Fisher Problem
- A practical solution to the multivariate Behrens-Fisher problem
- Size performance of some tests in one-way anova
- Some Tests for Variance Components Using Generalized p Values
- A comparison of type i error rates and power levels for seven solutions to the multivariate behrens-fisher problem
