Discriminant Analysis and Statistical Pattern Recognition by Geoffrey J. McLachlan
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Discriminant Analysis and Statistical Pattern Recognition
By Geoffrey J. McLachlan

Discriminant Analysis and Statistical Pattern Recognition

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Discriminant Analysis and Statistical Pattern Recognition by Geoffrey J. McLachlan

Book Description

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. Includes over 1,200 references in the bibliography.

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Book Details

ISBN: 9780471691150
ISBN-10: 0471691151
Format: Paperback
(227mm x 152mm x 28mm)
Pages: 552
Imprint: John Wiley & Sons Inc
Publisher: John Wiley and Sons Ltd
Publish Date: 24-Aug-2004
Country of Publication: United States

Books By Author Geoffrey J. McLachlan

EM Algorithm and Extensions by Geoffrey J. McLachlan EM Algorithm and Extensions, Hardback (April 2008)

Since its inception in 1977, the Expectation-Maximization (EM) algorithm has been the subject of intense scrutiny, dozens of applications, numerous extensions, and thousands of publications. The algorithm and its extensions are now standard tools applied to incomplete data problems in virtually every field in which statistical methods are used.

Analyzing Microarray Gene Expression Data by Geoffrey J. McLachlan Analyzing Microarray Gene Expression Data, Hardback (August 2004)

A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies.

Finite Mixture Models by Geoffrey J. McLachlan Finite Mixture Models, Hardback (November 2000)

Finite mixture models are typically used where the population being studied is heterogeneous in composition. This work aims to offer an up-to-date account of the major issues involved with finite modelling. There is a practical emphasis on the applications of mixture models.

» View all books by Geoffrey J. McLachlan

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Author Biography - Geoffrey J. McLachlan

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.

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Recent books by Geoffrey J. McLachlan close
Collected Works of Geoffrey J. McLachlan by Geoffrey J. McLachlan
EM Algorithm and Extensions by Geoffrey J. McLachlan
Analyzing Microarray Gene Expression Data by Geoffrey J. McLachlan
Finite Mixture Models by Geoffrey J. McLachlan
»
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