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Published by Springer-Verlag Publishing, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
Language: English
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Add to basketCondition: Like New. Fine/As New; Hardcover; Covers are still glossy with "sharp" edge-corners; Unblemished textblock edges; The endpapers and text pages are all bright and unmarked; The binding is tight with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 0.9 lbs; Tan covers with title in white lettering; 2015, Springer-Verlag Publishing; 207 pages; "Bayesian Nonparametric Data Analysis (Springer Series in Statistics)," by Peter Muller, et al.
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Published by Springer International Publishing, Springer Nature Switzerland, 2016
ISBN 10: 3319368427 ISBN 13: 9783319368429
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.
Published by Springer International Publishing, Springer Nature Switzerland, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 114.83
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.
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Published by Springer International Publishing AG, CH, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketHardback. Condition: New. 2015 ed. This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.
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Published by Springer International Publishing AG, 2016
ISBN 10: 3319368427 ISBN 13: 9783319368429
Language: English
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Add to basketCondition: New. Series: Springer Series in Statistics. Num Pages: 207 pages, 49 black & white illustrations, 10 colour illustrations, biography. BIC Classification: PBT; UFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 326. . 2016. Softcover reprint of the original 1st ed. 2015. Paperback. . . . .
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Published by Springer International Publishing, Springer International Publishing Jun 2015, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
£ 114.83
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Add to basketBuch. Condition: Neu. Neuware -This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book¿s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.
Paperback. Condition: Brand New. reprint edition. 207 pages. 9.25x6.10x1.18 inches. In Stock.
Published by Springer International Publishing AG, 2016
ISBN 10: 3319368427 ISBN 13: 9783319368429
Language: English
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Add to basketCondition: New. Series: Springer Series in Statistics. Num Pages: 207 pages, 49 black & white illustrations, 10 colour illustrations, biography. BIC Classification: PBT; UFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 326. . 2016. Softcover reprint of the original 1st ed. 2015. Paperback. . . . . Books ship from the US and Ireland.
Published by Springer International Publishing AG, CH, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. 2015 ed. This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.
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Hardcover. Condition: Brand New. 2015 edition. 208 pages. French language. 9.25x6.25x0.50 inches. In Stock.
Published by Springer International Publishing Okt 2016, 2016
ISBN 10: 3319368427 ISBN 13: 9783319368429
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages. 208 pp. Englisch.
Published by Springer International Publishing, 2016
ISBN 10: 3319368427 ISBN 13: 9783319368429
Language: English
Seller: moluna, Greven, Germany
£ 98.23
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first text to introduce nonparametric Bayesian inference from a data analysis perspectiveIncludes a large number of examples to illustrate the application of nonparametric Bayesian models for important statistical inference Problems.