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Publicado por Springer, 1991
ISBN 10: 0792392124ISBN 13: 9780792392125
Librería: Jackson Street Booksellers, Omaha, NE, Estados Unidos de America
Libro Original o primera edición
Hardcover. Condición: Fine. No Jacket. 1st Edition. Fine in Hardcover. 236pp 8vo.
Publicado por Kluwer Academic Publishers, 1991
ISBN 10: 0792392124ISBN 13: 9780792392125
Librería: Anybook.com, Lincoln, Reino Unido
Libro
Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:0792392124.
Publicado por Springer, 1991
ISBN 10: 0792392124ISBN 13: 9780792392125
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
Libro
Hardcover. Condición: Good. Ex-lib with the usual labeling, outer labeling may be able to be removed with care. Fading to spine. Light shelf wear. Pages/boards clean, NO foxing or markings. Binding tight. Protected in removable archival plastic sleeve.
Publicado por Springer, 1991
ISBN 10: 0792392124ISBN 13: 9780792392125
Librería: booksXpress, Bayonne, NJ, Estados Unidos de America
Libro
Hardcover. Condición: new.
Publicado por Springer, 1991
ISBN 10: 0792392124ISBN 13: 9780792392125
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Libro
Condición: New.
Publicado por Springer, 1991
ISBN 10: 0792392124ISBN 13: 9780792392125
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Libro Impresión bajo demanda
Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por Springer Netherlands Nov 1991, 1991
ISBN 10: 0792392124ISBN 13: 9780792392125
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Libro Impresión bajo demanda
Buch. Condición: 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. 252 pp. Englisch.
Publicado por Springer Netherlands, 1991
ISBN 10: 0792392124ISBN 13: 9780792392125
Librería: moluna, Greven, Alemania
Libro Impresión bajo demanda
Gebunden. Condición: 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.
Publicado por Springer Netherlands, 1991
ISBN 10: 0792392124ISBN 13: 9780792392125
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro
Buch. Condición: 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.