9783319829692 - Statistical Learning from a Regression Perspective (springer Texts in Statistics) by Berk, Richard A. (10 results)
Language: English
Published by Springer, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by Springer 2018-06, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Language: English
Published by Springer, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
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Condition: New. pp. 347.
More imagesLanguage: English
Published by Springer, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
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Taschenbuch. Condition: Neu. Statistical Learning from a Regression Perspective | Richard A. Berk | Taschenbuch | Springer Texts in Statistics | xxv | Englisch | 2018 | Springer | EAN 9783319829692 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot…]com | Anbieter: preigu.
Language: English
Published by Birkhäuser, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook 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 resp…onse. This fully revised new edition includes important developments over the past 8 years. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis derives from sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. As in the first edition, a unifying theme is supervised learning that can be treated as a form of regression analysis. Key concepts and procedures are illustrated with real applications, especially those with practical implications. The material is written for upper undergraduate level and graduate students in the social and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems. The author uses this book in a course on modern regression for the social, behavioral, and biological sciences. All of the analyses included are done in R with code routinely provided.
Language: English
Published by Springer, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
- Print on Demand
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Language: English
Published by Springer, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
- Print on Demand
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Springer International Publishing Jun 2018, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook 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 rel…ated to the response. This fully revised new edition includes important developments over the past 8 years. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis derives from sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. As in the first edition, a unifying theme is supervised learning that can be treated as a form of regression analysis. Key concepts and procedures are illustrated with real applications, especially those with practical implications. The material is written for upper undergraduate level and graduate students in the social and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems. The author uses this book in a course on modern regression for the social, behavioral, and biological sciences. All of the analyses included are done in R with code routinely provided. 376 pp. Englisch.
Language: English
Published by Springer, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 347.
Language: English
Published by Springer, 2018
Series: Springer Series in Statistics, Book 101 of 160. Book 101 of 160 - Springer Series in Statistics
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 347.
