On the conservative simultaneous confidence procedures for multiple comparisons among mean vectors

DOI10.1016/j.jspi.2007.03.061zbMath1152.62047OpenAlexW2002134350MaRDI QIDQ947246

Takashi Seo, Takahiro Nishiyama

Publication date: 29 September 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2007.03.061

zbMATH Keywords

conservativenessMonte Carlo simulationcoverage probabilitycomparisons with a controlpairwise comparisonsmultivariate Tukey-Kramer procedure

Mathematics Subject Classification ID

Multivariate analysis (62H99) Parametric tolerance and confidence regions (62F25) Monte Carlo methods (65C05) Paired and multiple comparisons; multiple testing (62J15)

Cites Work

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• The extreme value of the generalized distances of the individual points in the multivariate normal sample
• Notes on multivariate confidence bounds
• A proof of the conjecture that the Tukey-Kramer multiple comparisons procedure is conservative
• John W. Tukey's contributions to multiple comparisons
• Simultaneous confidence procedures for multiple comparisons of mean vectors in multivariate normal populations
• The Multivariate Tukey-Kramer Multiple Comparison Procedure Among Four Correlated Mean Vectors
• Exact Simultaneous Confidence Intervals for Multiple Comparisons Among Three or Four Mean Values
• Exact Simultaneous Confidence Intervals for Pairwise Comparisons of Three Normal Means
• An Approximation to the Maximum Modulus of the Trivariate T with a Comparison to the Exact Values
• A Generalized Tukey Conjecture for Multiple Comparisons Among Mean Vectors
• A Note on the Conservative Multivariate Tukey-Kramer Multiple Comparison Procedure
• Pairwise Comparisons of Generally Correlated Means

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