Inferences on a linear combination of K multivariate normal mean vectors

DOI10.1080/02664760802474231zbMath1474.62198OpenAlexW2097169837MaRDI QIDQ3183901

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Publication date: 21 October 2009

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760802474231

zbMATH Keywords

heteroscedasticitycoverage probabilitytype I errorgeneralized pivotal quantitygeneralized confidence regiongeneralized test variable

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Hypothesis testing in multivariate analysis (62H15)

Related Items (2)

Comparing the mean vectors of two independent multivariate log-normal distributions ⋮ Modified method on the means for several log-normal distributions

Cites Work

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• Modified Nel and van der Merwe test for the multivariate Behrens-Fisher problem.
• Note on a solution of the generalized Behrens-Fisher problem
• On Multiple Comparisons in the Randomization Analysis of Growth and Response Curves
• A practical solution to the multivariate Behrens-Fisher problem
• A comparison of type i error rates and power levels for seven solutions to the multivariate behrens-fisher problem
• Analysis of Experimental Data with Repeated Measurements

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