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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Pergamon Press
1986
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2009956 |
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 |
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