A Bayesian solution to the multivariate Behrens-Fisher problem

DOI10.1016/j.csda.2010.01.019zbMath1284.62330OpenAlexW2026437986MaRDI QIDQ2445613

Patrícia de Siqueira Ramos, Daniel Furtado Ferreira

Publication date: 14 April 2014

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.01.019

zbMATH Keywords

Monte Carlo simulationpowertype I error rateheteroscedastic covariancesmeans comparison

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12)

Related Items (3)

Inferences on linear combinations of normal means with unknown and unequal variances ⋮ Confidence interval estimation by a joint pivot method ⋮ A new procedure for the Behrens-Fisher problem that guarantees confidence levels

Uses Software

• R

Cites Work

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• A solution to the multivariate behrens-fisher problem
• The Welch-James approximation to the distribution of the residual sum of squares in a weighted linear regression
• Modified Nel and van der Merwe test for the multivariate Behrens-Fisher problem.
• A Bayesian Solution to the Multivariate Behrens-Fisher Problem
• A practical solution to the multivariate Behrens-Fisher problem
• Comparative Robustness of Six Tests in Multivariate Analysis of Variance
• A comparison of type i error rates and power levels for seven solutions to the multivariate behrens-fisher problem
• Practical Solutions of the Behrens-Fisher Problem
• On the multivariate Behrens-Fisher problem

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