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Can I read Discriminant Analysis and Statistical Pattern Recognition (Wiley Series in Probability and Statistics) on EtoBox?
Discriminant Analysis and Statistical Pattern Recognition (Wiley Series in Probability and Statistics) by Geoffrey J. McLachlan is a nonfiction available to read on EtoBox.
What is Discriminant Analysis and Statistical Pattern Recognition (Wiley Series in Probability and Statistics) about?
<p>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.</p> <p>"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."<br> –SciTech Book News</p> <p>". . . a very useful source of information for any researcher working in discriminant analysis and pattern recognition."<br> –Computational Statistics</p> <p>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 performan
Who reads Discriminant Analysis and Statistical Pattern Recognition (Wiley Series in Probability and Statistics)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Geoffrey J. McLachlan
- Publisher
- Wiley-Interscience
- Published
- 2004
- Language
- EN
- ISBN
- 9780471691150
- Category
- nonfiction
- Subjects
- Mathematics, Stem
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