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Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
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Condizione: New. pp. 208 Softcover reprint of the original 1st ed. 2015 edition NO-PA16APR2015-KAP.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Bayesian Nonparametric Data Analysis | Peter Müller (u. a.) | Taschenbuch | Springer Series in Statistics | xiv | Englisch | 2016 | Springer | EAN 9783319368429 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 207 pages. 9.25x6.10x1.18 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
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EUR 135,07
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Aggiungi al carrelloHardback. Condizione: New. 2015 ed.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2015 edition. 208 pages. French language. 9.25x6.25x0.50 inches. In Stock.
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, Springer Okt 2016, 2016
ISBN 10: 3319368427 ISBN 13: 9783319368429
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer, Springer Jun 2015, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing, 2016
ISBN 10: 3319368427 ISBN 13: 9783319368429
Da: moluna, Greven, Germania
EUR 118,61
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Aggiungi al carrelloCondizione: 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.
Lingua: Inglese
Editore: Springer International Publishing, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
Da: moluna, Greven, Germania
EUR 118,61
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 180,93
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 193.
Da: Majestic Books, Hounslow, Regno Unito
EUR 184,99
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 208.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 183,22
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 193.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 183,81
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 208.
Lingua: Inglese
Editore: Springer, Springer Jun 2015, 2015
ISBN 10: 3319189670 ISBN 13: 9783319189673
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 139,09
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Okt 2016, 2016
ISBN 10: 3319368427 ISBN 13: 9783319368429
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 139,09
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch.