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Statistical methods of discrimination and classification: advances in theory and applications

Statistical Methods of Discrimination and Classification: Advances in Theory and Applications is a collection of papers that tackles the multivariate problems of discriminating and classifying subjects into exclusive population. The book presents 13 papers that cover that advancement in the statisti...

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Detalles Bibliográficos
Autores principales: Choi, Sung C, Rodin, Ervin Y
Lenguaje:eng
Publicado: Pergamon Press 1986
Materias:
Acceso en línea:http://cds.cern.ch/record/2009956
Descripción
Sumario:Statistical Methods of Discrimination and Classification: Advances in Theory and Applications is a collection of papers that tackles the multivariate problems of discriminating and classifying subjects into exclusive population. The book presents 13 papers that cover that advancement in the statistical procedure of discriminating and classifying. The studies in the text primarily focus on various methods of discriminating and classifying variables, such as multiple discriminant analysis in the presence of mixed continuous and categorical data; choice of the smoothing parameter and efficiency o