The effect of across-location heteroscedasticity on the classification of mixed categorical and continuous data

DOI10.1016/S0047-259X(02)00057-XzbMath1014.62073OpenAlexW2047368917MaRDI QIDQ1873118

Chi-Ying Leung

Publication date: 19 May 2003

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0047-259x(02)00057-x

zbMATH Keywords

asymptotic expansionsperformance indexlocation linear discriminant functionacross-location heteroscedasticityexpected overall error rate

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Regularized classification for mixed continuous and categorical variables under across-location heteroscedasticity

Cites Work

• Robust classification procedures based on dichotomous and continuous variables
• The covariance adjusted location linear discriminant function for classifying data with unequal dispersion matrices in different locations
• Error rates for classifying observations based on binary and continuous variables with covariates
• The location linear discriminant for classifying observations with unequal variances
• An asymptotic expansion of the distribution of the studentized classification statistic W
• The location model for mixtures of categorical and continuous variables
• Mixtures of Continuous and Categorical Variables in Discriminant Analysis: A Hypothesis-Testing Approach
• Discrimination and Classification Using Both Binary and Continuous Variables

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