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Aggiungi al carrelloHardcover. Condizione: Gut. 384 pp. Cover discolored at spine and with slight signs of wear. Name on endpaper, otherwise well preserved inside 371 Sprache: Englisch Gewicht in Gramm: 608.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2008
ISBN 10: 0387775005 ISBN 13: 9780387775005
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EUR 56,12
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: Used. pp. 384.
Da: Majestic Books, Hounslow, Regno Unito
EUR 95,55
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Aggiungi al carrelloCondizione: Used. pp. 384 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 96,05
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 123,37
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EUR 115,14
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 130,49
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 115,13
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: preigu, Osnabrück, Germania
EUR 93,35
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Statistical Learning from a Regression Perspective | Richard A. Berk | Taschenbuch | xvii | Englisch | 2008 | Springer | EAN 9780387775005 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Revaluation Books, Exeter, Regno Unito
EUR 155,02
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 360 pages. 9.50x6.50x1.00 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 111,53
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this is can be seen as an extension of nonparametric regression. Among the statistical learning procedures examined are bagging, random forests, boosting, and support vector machines. Response variables may be quantitative or categorical. Real applications are emphasized, especially those with practical implications. One important theme is the need to explicitly take into account asymmetric costs in the fitting process. For example, in some situations false positives may be far less costly than false negatives. Another important theme is to not automatically cede modeling decisions to a fitting algorithm. In many settings, subject-matter knowledge should trump formal fitting criteria. Yet another important theme is to appreciate the limitation of one's data and not apply statistical learning procedures that require more than the data can provide. The material is written for graduate students in the social and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems. Intuitive explanations and visual representations are prominent. All of the analyses included are done in R.
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 201,50
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Springer New York Jul 2008, 2008
ISBN 10: 0387775005 ISBN 13: 9780387775005
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this is can be seen as an extension of nonparametric regression. Among the statistical learning procedures examined are bagging, random forests, boosting, and support vector machines. Response variables may be quantitative or categorical. Real applications are emphasized, especially those with practical implications. One important theme is the need to explicitly take into account asymmetric costs in the fitting process. For example, in some situations false positives may be far less costly than false negatives. Another important theme is to not automatically cede modeling decisions to a fitting algorithm. In many settings, subject-matter knowledge should trump formal fitting criteria. Yet another important theme is to appreciate the limitation of one's data and not apply statistical learning procedures that require more than the data can provide. The material is written for graduate students in the social and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems. Intuitive explanations and visual representations are prominent. All of the analyses included are done in R. 384 pp. Englisch.
Da: moluna, Greven, Germania
EUR 89,99
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Accessible discussion of statistical learning procedures for practitioners Lots of real applications discussed Intuitive explanations and visual representation of underlying statistical conceptsStatistical Learning from a Regress.
Lingua: Inglese
Editore: Springer, Springer Jul 2008, 2008
ISBN 10: 0387775005 ISBN 13: 9780387775005
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -to followSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 384 pp. Englisch.