Error Rates of a Robust Classification Procedure Based on Dichotomous and Continuous Random Variables

DOI10.1080/03610918908812777zbMath0695.62145OpenAlexW1989570548MaRDI QIDQ3471486

Rohana S. Ambagaspitiya, Moti L. Tiku, Narayanaswamy Balakrishnan

Publication date: 1989

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918908812777

zbMATH Keywords

classificationoutliersrobustnesserror ratesMML estimators

Mathematics Subject Classification ID

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

Uses Software

• IMSL Numerical Libraries

Cites Work

• On the errors of misclassification based on dichotomous and normal variables
• Robustness of MML estimators based on censored samples and robust test statistics
• Robust classification procedures based on dichotomous and continuous variables
• A robust procedure for testing an assumed value of the population correlation coefficient
• A robust test for testing the correlation coefficient
• Order statistics in goodness of fit tests
• Robust hotelling-type T²statistics based on the modified maximum likelihood estimators
• Modified maximum likelihood estimation for the bivariate normal
• Discrimination and Classification Using Both Binary and Continuous Variables
• Rejoinder: "Comment on 'a new Statistic for Testing Suspected Outliers'"
• Classification Based on Dichotomous and Continuous Variables
• A Comparison of Some Multivariate Discrimination Procedures

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