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Non-Life Insurance Mathematics

An Introduction with Stochastic Processes

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"Offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It gives detailed discussions of the fundamental models for claim sizes, claim arrivals, the total claim amount, and their probabilistic properties. . . . The reader gets to know how the underlying probabilistic structures allow one to determine premiums in a portfolio or in an individual policy." --Zentralblatt für Didaktik der Mathematik

Inhaltsverzeichnis

Collective Risk Models. - The Basic Model. - Models for the Claim Number Process. - The Total Claim Amount. - Ruin Theory. - Experience Rating. - Bayes Estimation. - Linear Bayes Estimation.

Produktdetails

Erscheinungsdatum
21. November 2006
Sprache
englisch
Seitenanzahl
248
Dateigröße
7,52 MB
Reihe
Universitext
Autor/Autorin
Thomas Mikosch
Kopierschutz
mit Wasserzeichen versehen
Produktart
EBOOK
Dateiformat
PDF
ISBN
9783540448891

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From the reviews:





" The book offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It gives detailed discussions of the fundamental models for claim sizes, claim arrivals, the total claim amount, and their probabilistic properties. The reader gets to know how the underlying probabilistic structures allow one to determine premiums in a portfolio or in an individual policy. Special emphasis is given to the phenomena which are caused by large claims in these models. " (Zentralblatt für Didaktik der Mathematik, November, 2004)


" The author s aim to bring some of the standard stochastic models of non-life insurance mathematics to the attention of a wide audience can definitely be reached by this textbook. It is well-written . Many figures and tables in this book help in illustrating and visualizing the developed theory. Moreover, every section ends with an extensive collection of exercises and should help the reader in accessing the theory. " (Josef Steinebach, Zentralblatt MATH, Vol. 1033 (8), 2004)


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