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Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning - Couverture rigide
Synopsis
Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics.
These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, boosting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another unique feature of this book is the discussion of database management systems.
This book is appropriate for advanced undergraduate students, graduate students, and researchers in statistics, computer science, artificial intelligence, psychology, cognitive sciences, business, medicine, bioinformatics, and engineering. Familiarity with multivariable calculus, linear algebra, and probability and statistics is required. The book presents a carefully-integrated mixture of theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods. There are over 60 interesting data sets used as examples in the book, over 200 exercises, and many color illustrations and photographs.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2008
- ISBN 10 0387781889
- ISBN 13 9780387781884
- ReliureRelié
- Langueanglais
- Numéro d'édition1
- Nombre de pages733
- Coordonnées du fabricantnon disponible
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Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics)
Edité par
Springer, 2008
ISBN 10 : 0387781889
ISBN 13 : 9780387781884
Ancien ou d'occasion
Couverture rigide
Vendeur : JERO BOOKS AND TEMPLET CO., SANTA MONICA, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Very Good. 2008 Edition (2008.) Hardcover without dust jacket as issued. 8vo with 731 pages. The book is in very good condition slight bump to one corner. Interior clean and tight, No markings. No online access or CD-ROM or digital access codes if applicable! "a completely new and refreshing approach to statistics and data exploration.comprehensive volume on multivariate statistical analysis. Highly recommended for both Statistics and Computer Science/Electrical Engineering majors." Blue spine/White-Green text. Size: 8vo. Computer Vision & Pattern Reco. N° de réf. du vendeur 034126
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Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics)
Edité par
Springer, 2008
ISBN 10 : 0387781889
ISBN 13 : 9780387781884
Ancien ou d'occasion
Couverture rigide
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
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Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00082847496
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Modern Multivariate Statistical Techniques
Edité par
Springer New York, 2008
ISBN 10 : 0387781889
ISBN 13 : 9780387781884
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes database management systems for maintaining and querying large databasesProvides detailed descriptions of linear and nonlinear data-mining and machine-learning techniquesIntegrates theory, real-data examples from many scientific d. N° de réf. du vendeur 205002157
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Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics)
Edité par
Springer, 2008
ISBN 10 : 0387781889
ISBN 13 : 9780387781884
Ancien ou d'occasion
Couverture rigide
Vendeur : SGS Trading Inc, Franklin Lakes, NJ, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Good. US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA. N° de réf. du vendeur DEC1-387781889-1603
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Modern Multivariate Statistical Techniques
Edité par
Springer New York Aug 2008, 2008
ISBN 10 : 0387781889
ISBN 13 : 9780387781884
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before. 760 pp. Englisch. N° de réf. du vendeur 9780387781884
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Modern Multivariate Statistical Techniques
Edité par
Springer New York, Springer New York Aug 2008, 2008
ISBN 10 : 0387781889
ISBN 13 : 9780387781884
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics.These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, boosting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another unique feature of this book is the discussion of database management systems.This book is appropriate for advanced undergraduate students, graduate students, and researchers in statistics, computer science, artificial intelligence, psychology, cognitive sciences, business, medicine, bioinformatics, and engineering. Familiarity with multivariable calculus, linear algebra, and probability and statistics is required. The book presents a carefully-integrated mixture of theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods. There are over 60 interesting data sets used as examples in the book, over 200 exercises, and many color illustrations and photographs.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 760 pp. Englisch. N° de réf. du vendeur 9780387781884
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Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning
Edité par
Springer New York, Springer New York, 2008
ISBN 10 : 0387781889
ISBN 13 : 9780387781884
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, boosting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another unique feature of this book is the discussion of database management systems.This book is appropriate for advanced undergraduate students, graduate students, and researchers in statistics, computer science, artificial intelligence, psychology, cognitive sciences, business, medicine, bioinformatics, and engineering. Familiarity with multivariable calculus, linear algebra, and probability and statistics is required. The book presents a carefully-integrated mixture of theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods. There are over 60 interesting data sets used as examples in the book, over 200 exercises, and many color illustrations and photographs. N° de réf. du vendeur 9780387781884
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Modern Multivariate Statistical Techniques
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. xxvi + 734. N° de réf. du vendeur 26394380
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Modern Multivariate Statistical Techniques
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand pp. xxvi + 734 Illus. N° de réf. du vendeur 7453523
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Modern Multivariate Statistical Techniques
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. xxvi + 734. N° de réf. du vendeur 18394374
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