Alan j izenman (33 risultati)
Lingua: Inglese
Editore: Springer, 2008
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Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Lingua: Inglese
Editore: Springer, 2008
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Da: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
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Hardcover. Condizione: Good. 1st ed. 2008, Corr. 2nd printing 2013. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Springer, 2008
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Lingua: Inglese
Editore: Springer, 2008
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Lingua: Inglese
Editore: Springer, 2008
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Da: Books From California, Simi Valley, CA, U.S.A.Books From California
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EUR 36,41
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hardcover. Condizione: Very Good.
Lingua: Inglese
Editore: Springer, 2008
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Da: Book House in Dinkytown, IOBA, Minneapolis, MN, U.S.A.Book House in Dinkytown, IOBA
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Condizione: Usato - Molto buono
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Hardcover. Condizione: Very Good. Condizione sovraccoperta: No Dust Jacket Issued. 2008 Printing. 2008 printing. Very good hardcover copy (NOT ex-library). Binding is tight, sturdy, and square, exterior looks great. Ships same or next business day from Dinkytown in Minneapolis, Minnesota.
Lingua: Inglese
Editore: Springer, 2008
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Da: JERO BOOKS AND TEMPLET CO., SANTA MONICA, CA, U.S.A.JERO BOOKS AND TEMPLET CO.
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Hardcover. Condizione: Very Good. Condizione sovraccoperta: No DJ Issued. 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 comp…letely 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.
Lingua: Inglese
Editore: Springer, 2008
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Da: medimops, Berlin, Germaniamedimops
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EUR 56,95
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Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Lingua: Inglese
Editore: Springer, 2008
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Da: GoldBooks, Denver, CO, U.S.A.GoldBooks
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EUR 74,37
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Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.
Lingua: Inglese
Editore: Springer, 2016
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Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Lingua: Inglese
Editore: Springer, 2008
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Da: thebookforest.com, San Rafael, CA, U.S.A.thebookforest.com
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Condizione: New.
Altre immaginiLingua: Inglese
Editore: Springer, 2008
- Rilegato
Da: Buchkanzlei, Bremen, GermaniaBuchkanzlei
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EUR 58,40
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Hardcover. Condizione: Sehr gut. 758 pp Spine slightly discolored, otherwise very well-preserved copy 377 Sprache: Englisch Gewicht in Gramm: 1339.
Lingua: Inglese
Editore: Springer, 2016
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New.
Lingua: Inglese
Editore: Humana, 2016
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Modern Multivariate Statistical Techniques | Regression, Classification, and Manifold Learning | Alan J. Izenman | Taschenbuch | Springer Texts in Statistics | xxv | Englisch | 2016 | Humana | EAN 9781493938322 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heide…lberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2016
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 96,29
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Taschenbuch. Condizione: 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 ha…s 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.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., New York, NY, 2008
- Rilegato
- Prima edizione
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 169,16
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Hardcover. Condizione: new. Hardcover. 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. The…se 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. This book details developments that have led to the introduction of many innovative statistical tools for high-dimensional data analysis. It takes a broad perspective, covering both linear and nonlinear methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Springer, 2008
- Rilegato
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 191,86
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Condizione: New. pp. xxvi + 734.
Lingua: Inglese
Editore: Springer, 2016
- Brossura
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Come nuovo
EUR 168,06
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, Humana, 2008
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 145,22
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Buch. Condizione: 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 opene…d 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.
Lingua: Inglese
Editore: Springer, 2013
- Rilegato
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Come nuovo
EUR 228,08
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Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2016
- Brossura
- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 78,24
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, 2016
- Brossura
- Print on Demand
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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EUR 91,47
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
Lingua: Inglese
Editore: Springer, Humana Aug 2016, 2016
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 96,29
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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 G…enome 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. 760 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2008
- Rilegato
- Print on Demand
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 122,01
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Condizione: Brand New. New. Delivery takes 20-25 days. Print on Demand.
Lingua: Inglese
Editore: Springer New York, 2016
- Brossura
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Da: moluna, Greven, Germaniamoluna
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EUR 81,44
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Kartoniert / Broschiert. Condizione: 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.
Lingua: Inglese
Editore: Springer, 2016
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 138,04
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, 2016
- Brossura
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 142,29
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Condizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer, Humana Aug 2016, 2016
- Brossura
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 96,29
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 Genom…e 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 KG, Sachsenplatz 4-6, 1201 Wien 760 pp. Englisch.
Lingua: Inglese
Editore: Springer, Humana Aug 2008, 2008
- Rilegato
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 139,09
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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 P…roject 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. 760 pp. Englisch.
Lingua: Inglese
Editore: Springer New York, 2008
- Rilegato
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 115,65
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Gebunden. Condizione: 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-da…ta examples from many scientific d.
