A robust procedure for testing the equality of mean vectors of two bivariate populations with unequal covariance matrices

DOI10.1080/03610928908830090zbMath0696.62235OpenAlexW2088149393MaRDI QIDQ3473232

Moti L. Tiku, Narayanaswamy Balakrishnan, Paramjit S. Gill

Publication date: 1989

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928908830090

zbMATH Keywords

outliersrobustnessestimatorsmultivariate distributionsmean vectorsHotelling statistic

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Robustness and adaptive procedures (parametric inference) (62F35)

Cites Work

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• The Welch-James approximation to the distribution of the residual sum of squares in a weighted linear regression
• Robustness of MML estimators based on censored samples and robust test statistics
• Note on a solution of the generalized Behrens-Fisher problem
• A robust test for testing the correlation coefficient
• Robust hotelling-type T²statistics based on the modified maximum likelihood estimators
• Robust test for means when population variances are unequal
• Testing Linear Contrasts of Means in Experimental Design Without Assuming Normality and Homogeneity of Variances
• On the confidence region comparison of some solutions for the multivariate behrens-fisher problem
• Rejoinder: "Comment on 'a new Statistic for Testing Suspected Outliers'"
• Bayesian insight into tiku’s robust procedures based on asymmetric censored samples
• Monte Carlo study of some simple estimators in censored normal samples
• On the multivariate Behrens-Fisher problem
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL

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