Discriminant Analysis and Statistical Pattern Recognition
Aus der Reihe
Wiley Series in Probability and Statistics
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- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
121,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
25.02.2005
Verlag
John Wiley & Sons IncSeitenzahl
526 (Printausgabe)
Dateigröße
29382 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780471725282
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 Statistics
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 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.
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 Statistics
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 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.
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