Isbn: 9780471691150 - discriminant analysis & pattern recog p (wiley series in probability and statistics) (6 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Kartoniert / Broschiert. Zustand: New. 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.

Paperback. Zustand: Brand New. 526 pages. 9.00x6.00x1.00 inches. In Stock.

Zustand: New. Available in paperback for the first time, this bestseller provides a systematic account of the subject area, while concentrating on the most recent advances in the field. While the focus is on practical considerations, both theoretical and practical issues are explored. Series: Wiley Series in Probability and Statistics. Num Pages: 552 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 228 x 154 x 26. Weight in Grams: 662. . 2004. New ed. Paperback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Zustand: Neu. Neuware - 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 StatisticsDiscriminant 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.…