Case Studies in Bayesian Statistics
Gatsonis, Constantine; Hodges, James S.; Kass, Robert E.; McCulloch, Robert E.; Rossi, Peter
ISBN 10: 0387949909 ISBN 13: 9780387949901
Editorial: Springer, 1997
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N° de ref. del artículo 18677528-n
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This third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasizing the scientific context. The papers were presented and discussed at a workshop at Carnegie-Mellon University in October, 1995. In this volume, which is dedicated to the memory of Morrie Groot, econometric applications are highlighted. There are six invited papers, each with accompanying invited discussion, and nine contributed papers.
Reseña del editor: This third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasizing the scientific context. The papers were presented and discussed at a workshop at Carnegie-Mellon University in October, 1995. In this volume, which is dedicated to the memory of Morrie Groot, econometric applications are highlighted. There are six invited papers, each with accompanying invited discussion, and nine contributed papers.
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Título: Case Studies in Bayesian Statistics
Editorial: Springer
Año de publicación: 1997
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Case Studies in Bayesian Statistics : Volume III
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Springer New York, 1997
ISBN 10: 0387949909
ISBN 13: 9780387949901
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 500 | Sprache: Englisch | Produktart: Bücher | Like the first two volumes, this third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasizing the sci entific context. The papers were presented and discussed at a workshop at Carnegie Mellon University, October 5-7, 1995. In this volume, which is dedicated to the memory of Morris H. DeGroot, econometric applica tions are highlighted. There are six invited papers, each with accompany ing invited discussion, and eight contributed papers (which were selected following refereeing). In addition, we include prefatory recollections about Morrie DeGroot by James o. Berger and Richard M. Cyert. INVITED PAPERS In Probing Public Opinion: The State of Valencia Experience, Jose Bernardo, who was a scientific advisor to the President of the State of Valencia, Spain, summarizes procedures that were set up to probe public opinion, and were used as an input to the government's decision making process. At the outset, a sample survey had to be designed. The problem of finding an optimal Bayesian design, based on logarithmic divergence be tween probability distributions, involves minimization over 21483 points in the action space. To solve it, simulated annealing was used. The author describes the objective of obtaining the probability that an individual clas sified in a certain group will prefer one of several possible alternatives, and his approach using posterior distributions based on reference priors. Nº de ref. del artículo: 186407/2
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Case Studies in Bayesian Statistics : Volume III
Publicado por
Springer New York, 1997
ISBN 10: 0387949909
ISBN 13: 9780387949901
Antiguo o usado
Tapa blanda
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Sehr gut. Zustand: Sehr gut | Seiten: 500 | Sprache: Englisch | Produktart: Bücher | Like the first two volumes, this third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasizing the sci entific context. The papers were presented and discussed at a workshop at Carnegie Mellon University, October 5-7, 1995. In this volume, which is dedicated to the memory of Morris H. DeGroot, econometric applica tions are highlighted. There are six invited papers, each with accompany ing invited discussion, and eight contributed papers (which were selected following refereeing). In addition, we include prefatory recollections about Morrie DeGroot by James o. Berger and Richard M. Cyert. INVITED PAPERS In Probing Public Opinion: The State of Valencia Experience, Jose Bernardo, who was a scientific advisor to the President of the State of Valencia, Spain, summarizes procedures that were set up to probe public opinion, and were used as an input to the government's decision making process. At the outset, a sample survey had to be designed. The problem of finding an optimal Bayesian design, based on logarithmic divergence be tween probability distributions, involves minimization over 21483 points in the action space. To solve it, simulated annealing was used. The author describes the objective of obtaining the probability that an individual clas sified in a certain group will prefer one of several possible alternatives, and his approach using posterior distributions based on reference priors. Nº de ref. del artículo: 186407/202
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Case Studies in Bayesian Statistics: Volume III (Lecture Notes in Statistics 121)
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Case Studies in Bayesian Statistics
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This third volume of case studies presents detailed applications of Bayesian statistical analysis. Although the applications are from a variety of areas, the emphasis in this volume is on econometrics. The first two volumes have proved to be valuable refere. Nº de ref. del artículo: 5912279
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Case Studies in Bayesian Statistics
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Springer New York, 1997
ISBN 10: 0387949909
ISBN 13: 9780387949901
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Case Studies in Bayesian Statistics
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Springer, Springer Jun 1997, 1997
ISBN 10: 0387949909
ISBN 13: 9780387949901
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Like the first two volumes, this third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasizing the sci entific context. The papers were presented and discussed at a workshop at Carnegie Mellon University, October 5-7, 1995. In this volume, which is dedicated to the memory of Morris H. DeGroot, econometric applica tions are highlighted. There are six invited papers, each with accompany ing invited discussion, and eight contributed papers (which were selected following refereeing). In addition, we include prefatory recollections about Morrie DeGroot by James o. Berger and Richard M. Cyert. INVITED PAPERS In Probing Public Opinion: The State of Valencia Experience, Jose Bernardo, who was a scientific advisor to the President of the State of Valencia, Spain, summarizes procedures that were set up to probe public opinion, and were used as an input to the government's decision making process. At the outset, a sample survey had to be designed. The problem of finding an optimal Bayesian design, based on logarithmic divergence be tween probability distributions, involves minimization over 21483 points in the action space. To solve it, simulated annealing was used. The author describes the objective of obtaining the probability that an individual clas sified in a certain group will prefer one of several possible alternatives, and his approach using posterior distributions based on reference priors.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 500 pp. Englisch. Nº de ref. del artículo: 9780387949901
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Case Studies in Bayesian Statistics
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Springer, Springer Jun 1997, 1997
ISBN 10: 0387949909
ISBN 13: 9780387949901
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Like the first two volumes, this third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasizing the sci entific context. The papers were presented and discussed at a workshop at Carnegie Mellon University, October 5-7, 1995. In this volume, which is dedicated to the memory of Morris H. DeGroot, econometric applica tions are highlighted. There are six invited papers, each with accompany ing invited discussion, and eight contributed papers (which were selected following refereeing). In addition, we include prefatory recollections about Morrie DeGroot by James o. Berger and Richard M. Cyert. INVITED PAPERS In Probing Public Opinion: The State of Valencia Experience, Jose Bernardo, who was a scientific advisor to the President of the State of Valencia, Spain, summarizes procedures that were set up to probe public opinion, and were used as an input to the government's decision making process. At the outset, a sample survey had to be designed. The problem of finding an optimal Bayesian design, based on logarithmic divergence be tween probability distributions, involves minimization over 21483 points in the action space. To solve it, simulated annealing was used. The author describes the objective of obtaining the probability that an individual clas sified in a certain group will prefer one of several possible alternatives, and his approach using posterior distributions based on reference priors. 500 pp. Englisch. Nº de ref. del artículo: 9780387949901
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Case Studies in Bayesian Statistics : Volume III
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Like the first two volumes, this third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasizing the sci entific context. The papers were presented and discussed at a workshop at Carnegie Mellon University, October 5-7, 1995. In this volume, which is dedicated to the memory of Morris H. DeGroot, econometric applica tions are highlighted. There are six invited papers, each with accompany ing invited discussion, and eight contributed papers (which were selected following refereeing). In addition, we include prefatory recollections about Morrie DeGroot by James o. Berger and Richard M. Cyert. INVITED PAPERS In Probing Public Opinion: The State of Valencia Experience, Jose Bernardo, who was a scientific advisor to the President of the State of Valencia, Spain, summarizes procedures that were set up to probe public opinion, and were used as an input to the government's decision making process. At the outset, a sample survey had to be designed. The problem of finding an optimal Bayesian design, based on logarithmic divergence be tween probability distributions, involves minimization over 21483 points in the action space. To solve it, simulated annealing was used. The author describes the objective of obtaining the probability that an individual clas sified in a certain group will prefer one of several possible alternatives, and his approach using posterior distributions based on reference priors. Nº de ref. del artículo: 9780387949901
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Case Studies in Bayesian Statistics: Volume III (Lecture Notes in Statistics 121)
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Case Studies in Bayesian Statistics
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