9781441923035 - an Introduction to Bayesian Analysis: Theory and Methods (springer Texts in Statistics) by Ghosh, Jayanta K. K.; Delampady, Mohan; Samanta, Tapas (13 results)
Language: English
Published by Springer 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
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Published by Springer 2010-11 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
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Language: English
Published by Springer 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
- Softcover
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Language: English
Published by Humana 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
- Softcover
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Taschenbuch. Condition: Neu. An Introduction to Bayesian Analysis | Theory and Methods | Jayanta K. Ghosh (u. a.) | Taschenbuch | Springer Texts in Statistics | xiii | Englisch | 2010 | Humana | EAN 9781441923035 | 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 Springer, Humana 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Though there are many recent additions to graduate-level introductory books on Bayesian analysis, none has quite our blend of theory, methods, and ap plications. We believe a beginning graduate student taking a Bayesian course or just trying to fin…d out what it means to be a Bayesian ought to have some familiarity with all three aspects. More specialization can come later. Each of us has taught a course like this at Indian Statistical Institute or Purdue. In fact, at least partly, the book grew out of those courses. We would also like to refer to the review (Ghosh and Samanta (2002b)) that first made us think of writing a book. The book contains somewhat more material than can be covered in a single semester. We have done this intentionally, so that an instructor has some choice as to what to cover as well as which of the three aspects to emphasize. Such a choice is essential for the instructor. The topics include several results or methods that have not appeared in a graduate text before. In fact, the book can be used also as a second course in Bayesian analysis if the instructor supplies more details. Chapter 1 provides a quick review of classical statistical inference. Some knowledge of this is assumed when we compare different paradigms. Following this, an introduction to Bayesian inference is given in Chapter 2 emphasizing the need for the Bayesian approach to statistics.
Language: English
Published by Springer New York 2006
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
- Softcover
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Published by Springer 2010
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer-Verlag New York Inc. 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Springer, Humana Nov 2010 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Though there are many recent additions to graduate-level introductory books on Bayesian analysis, none has quite our blend of theory, methods, and ap plications. We believe a beginning graduate student taking a Bayesian course or ju…st trying to find out what it means to be a Bayesian ought to have some familiarity with all three aspects. More specialization can come later. Each of us has taught a course like this at Indian Statistical Institute or Purdue. In fact, at least partly, the book grew out of those courses. We would also like to refer to the review (Ghosh and Samanta (2002b)) that first made us think of writing a book. The book contains somewhat more material than can be covered in a single semester. We have done this intentionally, so that an instructor has some choice as to what to cover as well as which of the three aspects to emphasize. Such a choice is essential for the instructor. The topics include several results or methods that have not appeared in a graduate text before. In fact, the book can be used also as a second course in Bayesian analysis if the instructor supplies more details. Chapter 1 provides a quick review of classical statistical inference. Some knowledge of this is assumed when we compare different paradigms. Following this, an introduction to Bayesian inference is given in Chapter 2 emphasizing the need for the Bayesian approach to statistics. 368 pp. Englisch.
Language: English
Published by Springer New York 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective an…d objective Bayesian analysis are dev.
Language: English
Published by Springer 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
- Softcover
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Condition: New. Print on Demand pp. 370 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Language: English
Published by Springer, Humana Nov 2010 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Though there are many recent additions to graduate-level introductory books on Bayesian analysis, none has quite our blend of theory, methods, and ap plications. We believe a beginning graduate student taking a Bayesian course or just t…rying to find out what it means to be a Bayesian ought to have some familiarity with all three aspects. More specialization can come later. Each of us has taught a course like this at Indian Statistical Institute or Purdue. In fact, at least partly, the book grew out of those courses. We would also like to refer to the review (Ghosh and Samanta (2002b)) that first made us think of writing a book. The book contains somewhat more material than can be covered in a single semester. We have done this intentionally, so that an instructor has some choice as to what to cover as well as which of the three aspects to emphasize. Such a choice is essential for the instructor. The topics include several results or methods that have not appeared in a graduate text before. In fact, the book can be used also as a second course in Bayesian analysis if the instructor supplies more details. Chapter 1 provides a quick review of classical statistical inference. Some knowledge of this is assumed when we compare different paradigms. Following this, an introduction to Bayesian inference is given in Chapter 2 emphasizing the need for the Bayesian approach to statistics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 368 pp. Englisch.
Language: English
Published by Springer 2010
Series: Springer Texts in Statistics, Book 29 of 111. Book 29 of 111 - Springer Texts in Statistics
- Softcover
- Print on Demand
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Condition: New. PRINT ON DEMAND pp. 370.
