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Description du livre Soft Cover. Etat : new. This item is printed on demand. N° de réf. du vendeur 9780387940434
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Feb2215580173929
Description du livre Etat : New. N° de réf. du vendeur 18677519-n
Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9780387940434_lsuk
Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a growth spurt in the application of Bayesian methods. The purpose of this volume is to present several detailed examples of applications of Bayesian thinking, with an emphasis on the scientific or technological context of the problem being solved. The papers collected here were presented and discussed at a Workshop held at Carnegie-Mellon University, September 29 through October 1, 1991. There are five ma jor articles, each with two discussion pieces and a reply. These articles were invited by us following a public solicitation of abstracts. The problems they address are diverse, but all bear on policy decision-making. Though not part of our original design for the Workshop, that commonality of theme does emphasize the usefulness of Bayesian meth ods in this arena. Along with the invited papers were several additional commentaries of a general nature; the first comment was invited and the remainder grew out of the discussion at the Workshop. In addition there are nine contributed papers, selected from the thirty-four presented at the Workshop, on a variety of applications. This collection of case studies illustrates the ways in which Bayesian methods are being incorporated into statistical practice. The strengths (and limitations) of the approach become apparent through the examples. 456 pp. Englisch. N° de réf. du vendeur 9780387940434
Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a g. N° de réf. du vendeur 5911877
Description du livre Etat : New. N° de réf. du vendeur 18677519-n
Description du livre Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a growth spurt in the application of Bayesian methods. The purpose of this volume is to present several detailed examples of applications of Bayesian thinking, with an emphasis on the scientific or technological context of the problem being solved. The papers collected here were presented and discussed at a Workshop held at Carnegie-Mellon University, September 29 through October 1, 1991. There are five ma jor articles, each with two discussion pieces and a reply. These articles were invited by us following a public solicitation of abstracts. The problems they address are diverse, but all bear on policy decision-making. Though not part of our original design for the Workshop, that commonality of theme does emphasize the usefulness of Bayesian meth ods in this arena. Along with the invited papers were several additional commentaries of a general nature; the first comment was invited and the remainder grew out of the discussion at the Workshop. In addition there are nine contributed papers, selected from the thirty-four presented at the Workshop, on a variety of applications. This collection of case studies illustrates the ways in which Bayesian methods are being incorporated into statistical practice. The strengths (and limitations) of the approach become apparent through the examples. N° de réf. du vendeur 9780387940434
Description du livre Paperback. Etat : Brand New. 1st edition. 437 pages. 9.25x6.10x1.03 inches. In Stock. N° de réf. du vendeur x-038794043X
Description du livre Etat : New. Editor(s): Gatsonis, Constantine (University of Providence, Rhode Island, USA); Hodges, James S. (University of Minnesota, Minneapolis, MN, USA); Kass, Robert E.; Singpurwalla, Nozer D. Series: Lecture Notes in Statistics. Num Pages: 450 pages, 7 black & white illustrations, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 23. Weight in Grams: 685. . 1993. Softcover reprint of the original 1st ed. 1993. Paperback. . . . . N° de réf. du vendeur V9780387940434