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Discriminant Analysis and Statistical Pattern Recognition

Wiley, J,
E-Book ( PDF mit Adobe DRM )
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The Wiley-Interscience Paperback Series consists of selected booksthat have been made more accessible to consumers in an effort toincrease global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists.
"For both applied and theoretical statisticians as well asinvestigators working in the many areas in which relevant use canbe made of discriminant techniques, this monograph provides amodern, comprehensive, and systematic account of discriminantanalysis, with the focus on the more recent advances in thefield."
-SciTech Book News
". a very useful source of information for any researcherworking in discriminant analysis and pattern recognition."
-Computational Statistics
Discriminant Analysis and Statistical Pattern Recognitionprovides a systematic account of the subject. While the focus is onpractical considerations, both theoretical and practical issues areexplored. Among the advances covered are regularized discriminantanalysis and bootstrap-based assessment of the performance of asample-based discriminant rule, and extensions of discriminantanalysis motivated by problems in statistical image analysis. Theaccompanying bibliography contains over 1,200 references.


Titel: Discriminant Analysis and Statistical Pattern Recognition
Autoren/Herausgeber: Geoffrey McLachlan
Aus der Reihe: Wiley Series in Probability and Statistics
Ausgabe: 1. Auflage

ISBN/EAN: 9780471725282

Seitenzahl: 544
Produktform: E-Book
Sprache: Englisch

Geoffrey J. McLachlan, PhD, is Professor of Mathematics at the University of Queensland, Australia. He is the author, with David Peel, of Finite Mixture Models(Wiley) and, with Thriyambakam Krishnan, of The EM Algorithm and Extensions(Wiley), among others. - Newsletter
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