9781441923035 - an introduction to bayesian analysis: theory and methods (springer texts in statistics) de ghosh, jayanta k. k.; delampady, mohan; samanta, tapas (14 resultados)
Idioma: Inglés
Editorial: Springer 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Editorial: Springer 2010-11 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Idioma: Inglés
Editorial: Springer 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Condición: New. pp. 370.
Idioma: Inglés
Editorial: Springer 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: bmyguest books, Toronto, Canadabmyguest books
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Soft cover. Condición: Very Good. Clean No Remarks Or Highlights Inside. In Very Good Condition. 352 Pages With The Index. Soft Cover.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historica…lly significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.
Idioma: Inglés
Editorial: Springer, Humana 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: 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.
Idioma: Inglés
Editorial: Springer New York 2006
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 352 pages. 9.00x6.00x0.83 inches. In Stock.
Idioma: Inglés
Editorial: Springer 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
- Tapa blanda
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Paperback. Condición: Like New. Like New. book.
Idioma: Inglés
Editorial: Springer 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: Brook Bookstore On Demand, Napoli, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer-Verlag New York Inc. 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Editorial: Springer, Humana Nov 2010 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: 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.
Idioma: Inglés
Editorial: Springer New York 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: moluna, Greven, Alemaniamoluna
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Condición: 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.
Idioma: Inglés
Editorial: Springer 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: 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.
Idioma: Inglés
Editorial: Springer 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
- Tapa blanda
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Librería: Biblios, frankfurt am main, AlemaniaBiblios
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EUR 166,41
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Condición: New. PRINT ON DEMAND pp. 370.
Idioma: Inglés
Editorial: Springer, Humana Nov 2010 2010
Serie: Springer Texts in Statistics, Libro 29 de 111. Libro 29 de 111 - Springer Texts in Statistics
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Librería: buchversandmimpf2000, Emtmannsberg, Alemaniabuchversandmimpf2000
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EUR 128,39
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Taschenbuch. Condición: 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.
