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Universitext : Universitext - Alois Gisler

Universitext

By: Alois Gisler, Hans Buhlmann, Hans B. Hlmann

Paperback | 30 August 2005

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The book is aimed at teachers and students as well as practising experts in the financial area, in particular at actuaries in the field of property-casualty insurance, life insurance, reinsurance and insurance supervision. Persons working in the wider world of finance will also find many relevant ideas and examples even though credibility methods have not yet been widely applied here. The text combines scientific rigour with direct practical applicability. The book covers the subject of Credibility Theory extensively and includes most aspects of this topic from the simplest case to the most general dynamic model. Credibility is a lifeless topic if it is not linked closely to practical applications. The book therefore treats explicitly the tasks which actuary encounters in his daily work such as estimation of loss ratios, claim frequencies and average claim amounts. This book deserves a place on the bookshelf of every actuary and mathematician who works, teaches or does research in the area of insurance and finance.
Industry Reviews

From the reviews:

"The book is aimed at teachers and students as well as practicing experts in the financial area ... . Persons working in the wider world of finance will also find many relevant ideas and examples even though credibility methods have not yet been widely applied here. The book covers the subject of Credibility Theory extensively and includes most aspects of this topic from the simplest case to the most general dynamic model." (Zeitschrift fuer die gesamte Versicherungswissenschaft, Issue 2, 2006)

"The authors ... have done an excellent job while explaining the basic concept and at the same time elaborating on the practical problems actuaries encounter. ... The book is aimed at teachers, students and practising experts, especially actuaries working in property-casualty insurance. ... The book has relevant practical examples and exercises which practitioners might find useful. It may be useful for students/non-actuaries who do not have a statistical background ... ." (Gautam Kakar, Annals of Actuarial Science, Vol. 2 (2), 2007)

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