Discriminant Analysis and Statistical Pattern Recognition
Published on 1. February 2005
Software
Other digital
526 pages
978-0-471-72529-9 (ISBN)
Description
This work provides a systematic account of the subject area, concentrating on the most recent advances in the field. 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. It includes over 1,200 references in the bibliography.
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Weight
100 gr
ISBN-13
978-0-471-72529-9 (9780471725299)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Geoffrey McLachlan
Discriminant Analysis and Statistical Pattern Recognition
E-Book
02/2005
Wiley
€121.99
Available for download
Content
Likelihood--Based Approaches to Discrimination. Discrimination via Normal Models. Distributional Results for Discrimination via Normal Models. Some Practical Aspects and Variants of Normal Theory--Based Discriminant Rules. Data Analytic Considerations with Normal Theory--Based Discriminant Analysis. Parametric Discrimination via Nonnormal Models. Logistic Discrimination. Nonparametric Discrimination. Estimation of Error Rates. Assessing the Reliability of the Estimated Posterior Probabilites of Group Membership. Selection of Feature Variables in Discriminant Analysis. Statistical Image Analysis. References. Indexes.