Bayesian Statistics in Actuarial Science
Klugman, Stuart A.
ISBN 10: 9048157900 ISBN 13: 9789048157907
Published by Springer, 2010
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Series: Huebner International Series on Risk, Insurance and Economic Security. Num Pages: 238 pages, biography. BIC Classification: KFFK; KJQ; PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 397. . 2010. 1st ed. Softcover of orig. ed. 1992. Paperback. . . . . Seller Inventory # V9789048157907
Synopsis:
The debate between the proponents of "classical" and "Bayesian" statistica} methods continues unabated. It is not the purpose of the text to resolve those issues but rather to demonstrate that within the realm of actuarial science there are a number of problems that are particularly suited for Bayesian analysis. This has been apparent to actuaries for a long time, but the lack of adequate computing power and appropriate algorithms had led to the use of various approximations. The two greatest advantages to the actuary of the Bayesian approach are that the method is independent of the model and that interval estimates are as easy to obtain as point estimates. The former attribute means that once one learns how to analyze one problem, the solution to similar, but more complex, problems will be no more difficult. The second one takes on added significance as the actuary of today is expected to provide evidence concerning the quality of any estimates. While the examples are all actuarial in nature, the methods discussed are applicable to any structured estimation problem. In particular, statisticians will recognize that the basic credibility problem has the same setting as the random effects model from analysis of variance.
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Bibliographic Details
Title: Bayesian Statistics in Actuarial Science
Publisher: Springer
Publication Date: 2010
Binding: Soft cover
Condition: New
Edition: 1st Edition
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The debate between the proponents of classical and Bayesian statistica} methods continues unabated. It is not the purpose of the text to resolve those issues but rather to demonstrate that within the realm of actuarial science there are a number of prob. Seller Inventory # 5819644
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Taschenbuch. Condition: Neu. Bayesian Statistics in Actuarial Science | with Emphasis on Credibility | Stuart A. Klugman | Taschenbuch | XIV | Englisch | 2010 | Springer | EAN 9789048157907 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 107245723
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The debate between the proponents of 'classical' and 'Bayesian' statistica} methods continues unabated. It is not the purpose of the text to resolve those issues but rather to demonstrate that within the realm of actuarial science there are a number of problems that are particularly suited for Bayesian analysis. This has been apparent to actuaries for a long time, but the lack of adequate computing power and appropriate algorithms had led to the use of various approximations. The two greatest advantages to the actuary of the Bayesian approach are that the method is independent of the model and that interval estimates are as easy to obtain as point estimates. The former attribute means that once one learns how to analyze one problem, the solution to similar, but more complex, problems will be no more difficult. The second one takes on added significance as the actuary of today is expected to provide evidence concerning the quality of any estimates. While the examples are all actuarial in nature, the methods discussed are applicable to any structured estimation problem. In particular, statisticians will recognize that the basic credibility problem has the same setting as the random effects model from analysis of variance. 256 pp. Englisch. Seller Inventory # 9789048157907
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The debate between the proponents of 'classical' and 'Bayesian' statistica} methods continues unabated. It is not the purpose of the text to resolve those issues but rather to demonstrate that within the realm of actuarial science there are a number of problems that are particularly suited for Bayesian analysis. This has been apparent to actuaries for a long time, but the lack of adequate computing power and appropriate algorithms had led to the use of various approximations. The two greatest advantages to the actuary of the Bayesian approach are that the method is independent of the model and that interval estimates are as easy to obtain as point estimates. The former attribute means that once one learns how to analyze one problem, the solution to similar, but more complex, problems will be no more difficult. The second one takes on added significance as the actuary of today is expected to provide evidence concerning the quality of any estimates. While the examples are all actuarial in nature, the methods discussed are applicable to any structured estimation problem. In particular, statisticians will recognize that the basic credibility problem has the same setting as the random effects model from analysis of variance.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 256 pp. Englisch. Seller Inventory # 9789048157907
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Bayesian Statistics in Actuarial Science : with Emphasis on Credibility
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The debate between the proponents of 'classical' and 'Bayesian' statistica} methods continues unabated. It is not the purpose of the text to resolve those issues but rather to demonstrate that within the realm of actuarial science there are a number of problems that are particularly suited for Bayesian analysis. This has been apparent to actuaries for a long time, but the lack of adequate computing power and appropriate algorithms had led to the use of various approximations. The two greatest advantages to the actuary of the Bayesian approach are that the method is independent of the model and that interval estimates are as easy to obtain as point estimates. The former attribute means that once one learns how to analyze one problem, the solution to similar, but more complex, problems will be no more difficult. The second one takes on added significance as the actuary of today is expected to provide evidence concerning the quality of any estimates. While the examples are all actuarial in nature, the methods discussed are applicable to any structured estimation problem. In particular, statisticians will recognize that the basic credibility problem has the same setting as the random effects model from analysis of variance. Seller Inventory # 9789048157907
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Bayesian Statistics in Actuarial Science: With Emphasis on Credibility (Huebner International Series on Risk, Insurance and Economic Security)
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