Robust classification procedures based on the mml estimators

DOI10.1080/03610928908829950zbMath0696.62259OpenAlexW2013981623MaRDI QIDQ3474039

Narayanaswamy Balakrishnan, Moti L. Tiku

Publication date: 1989

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

Full work available at URL: https://doi.org/10.1080/03610928908829950

zbMATH Keywords

classificationrobustnessdiscriminant functionsMML estimators

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Cites Work

• Robustness of MML estimators based on censored samples and robust test statistics
• Robust multivariate classification procedures based on the mml estimators
• Robust Univariate Two-Way Classification
• Classification into two Multivariate Normal Distributions with Different Covariance Matrices
• Testing Linear Contrasts of Means in Experimental Design Without Assuming Normality and Homogeneity of Variances
• Robust statistics for testing equality of means or variances

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