Quadratic location discriminant functions for mixed categorical and continuous data

DOI10.1016/0167-7152(94)90138-4zbMath0800.62339OpenAlexW1995076146MaRDI QIDQ1314684

Wojtek Janusz Krzanowski

Publication date: 27 March 1994

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(94)90138-4

Mathematics Subject Classification ID

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

Related Items (4)

Probability densities from distances and discrimination ⋮ Variable selection in discriminant analysis based on the location model for mixed variables ⋮ Error rates in classification consisting of discrete and continuous variables in the presence of covariates ⋮ Minimum Distance Probability Discriminant Analysis for Mixed Variables

Cites Work

• Robust classification procedures based on dichotomous and continuous variables
• Mixtures of Continuous and Categorical Variables in Discriminant Analysis: A Hypothesis-Testing Approach
• Multiple discriminant analysis in the presence of mixed continuous and categorical data
• Mixtures of Continuous and Categorical Variables in Discriminant Analysis
• Discrimination and Classification Using Both Binary and Continuous Variables
• Quadratic Forms and Idempotent Matrices with Random Elements
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables
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