Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 103,66
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Librería: Chiron Media, Wallingford, Reino Unido
EUR 96,98
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Añadir al carritoPaperback. Condición: New.
Librería: Book Alley, Pasadena, CA, Estados Unidos de America
EUR 101,56
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Añadir al carritohardcover. Condición: Good. Former library book, still has stickers. Used with wear, stamp to textblock and first page. Edgewear and some soiling to textblock, bumping/wear to corners but is still in solid reading condition.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 135,62
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Publicado por Springer New York, Springer US, 2010
ISBN 10: 1441923039 ISBN 13: 9781441923035
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 127,42
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Añadir al carritoTaschenbuch. 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 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.
Librería: bmyguest books, Toronto, ON, Canada
EUR 88,22
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Añadir al carritoSoft 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 historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 153,09
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 119,85
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 177,01
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Añadir al carritoPaperback. Condición: Brand New. 352 pages. 9.00x6.00x0.83 inches. In Stock.
Publicado por Springer New York, Springer US, 2006
ISBN 10: 0387400842 ISBN 13: 9780387400846
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 175,09
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Añadir al carritoBuch. 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 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.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 186,69
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Añadir al carritoCondición: New.
Librería: BennettBooksLtd, North Las Vegas, NV, Estados Unidos de America
EUR 159,55
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Añadir al carritohardcover. Condición: New. In shrink wrap. Looks like an interesting title!
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 165,81
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Añadir al carritoCondición: New.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 206,80
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 238,88
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: Antikvariat Faust, Göteborg, Suecia
EUR 138,21
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Añadir al carritoSpringer-Verlag, Berlin 2006. XIII, 352 pp. Hardcover. Fine condition. (Springer Texts in Statistics).
Publicado por Springer-Verlag New York Inc., 2010
ISBN 10: 1441923039 ISBN 13: 9781441923035
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 117,90
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 549.
Publicado por Springer-Verlag New York Inc., 2006
ISBN 10: 0387400842 ISBN 13: 9780387400846
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 177,49
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 728.