Discrimination and Classification Using Both Binary and Continuous Variables
Author : W. J. Krzanowski
Publisher :
Page : 0 pages
File Size : 37,80 MB
Release : 1974
Category :
ISBN :
Author : W. J. Krzanowski
Publisher :
Page : 0 pages
File Size : 37,80 MB
Release : 1974
Category :
ISBN :
Author : David J. Hand
Publisher :
Page : 236 pages
File Size : 34,47 MB
Release : 1981-11-04
Category : Mathematics
ISBN :
Distribution-free methods; Parameterized distributions; Linear discriminant functions; Discrete variables; Variable selection; Cluster analysis; Miscellaneous topics.
Author : Andrew James Demotses
Publisher :
Page : 412 pages
File Size : 22,26 MB
Release : 1979
Category : Bank loans
ISBN :
Author : Dennis Patrick Brady
Publisher :
Page : 220 pages
File Size : 15,36 MB
Release : 1976
Category : Multivariate analysis
ISBN :
Author : I. G. Vlachonikolis
Publisher :
Page : pages
File Size : 45,62 MB
Release : 1988
Category : Mathematical statistics
ISBN :
Author : Sung C. Choi
Publisher : Elsevier
Page : 145 pages
File Size : 27,58 MB
Release : 2014-05-17
Category : Mathematics
ISBN : 1483190986
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 of k-nearest neighbor classification; and assessing the performance of an allocation rule. The book will be of great use to researchers and practitioners of wide array of scientific disciplines, including engineering, psychology, biology, and physics.
Author : Gafar Matanmi Oyeyemi
Publisher :
Page : 11 pages
File Size : 13,38 MB
Release : 2017
Category :
ISBN :
A discrimination procedure, based on the location model is described and suggested for use in situation where the discriminating variables are mixtures of continuous and binary variables. Some procedures that have been previously employed, in a similar situation, like Fisher's linear discriminant function and the logistic regression were compared with this method using error rate (ER). Optimal ERs for these procedures are reported using real and simulated data for the case of varying sample size and number of continuous and binary variables and were used as a measure for assessing the performance of the various procedures. The suggested procedure performed considerably better in the cases considered and never did produce a result that is poor when compared with other procedures. Hence, the suggested procedure might be considered for such situations.
Author : Sung C. Choi
Publisher :
Page : 152 pages
File Size : 33,50 MB
Release : 1986
Category : Computers
ISBN :
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.
Author : Geoffrey McLachlan
Publisher : John Wiley & Sons
Page : 526 pages
File Size : 18,83 MB
Release : 2005-02-25
Category : Mathematics
ISBN : 0471725285
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "For both applied and theoretical statisticians as well as investigators working in the many areas in which relevant use can be made of discriminant techniques, this monograph provides a modern, comprehensive, and systematic account of discriminant analysis, with the focus on the more recent advances in the field." –SciTech Book News ". . . a very useful source of information for any researcher working in discriminant analysis and pattern recognition." –Computational Statistics Discriminant Analysis and Statistical Pattern Recognition provides a systematic account of the subject. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule, and extensions of discriminant analysis motivated by problems in statistical image analysis. The accompanying bibliography contains over 1,200 references.
Author : Ching-tsao Tu
Publisher :
Page : 440 pages
File Size : 22,92 MB
Release : 1978
Category : Discriminant analysis
ISBN :