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Non-Life Insurance Mathematics

  • Textbook
  • © 1988

Overview

  • Provides an excellent mixture of practical problems and their actuarial solutions - Contains verbal descriptions of the main actuarial problems without using any mathematical formulae - Written in a simple mathematical language requiring only basic calculus and probability theory

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Table of contents (8 chapters)

Keywords

About this book

The book gives a comprehensive overview of modern non-life actuarial science. It starts with a verbal description (i.e. without using mathematical formulae) of the main actuarial problems to be solved in non-life practice. Then in an extensive second chapter all the mathematical tools needed to solve these problems are dealt with - now in mathematical notation. The rest of the book is devoted to the exact formulation of various problems and their possible solutions. Being a good mixture of practical problems and their actuarial solutions, the book addresses above all two types of readers: firstly students (of mathematics, probability and statistics, informatics, economics) having some mathematical knowledge, and secondly insurance practitioners who remember mathematics only from some distance. Prerequisites are basic calculus and probability theory.

Authors and Affiliations

  • Swiss Reinsurance Company, Zürich, Switzerland

    Erwin Straub

Bibliographic Information

  • Book Title: Non-Life Insurance Mathematics

  • Authors: Erwin Straub

  • DOI: https://doi.org/10.1007/978-3-662-03364-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1988

  • Hardcover ISBN: 978-3-540-18787-5Published: 29 November 1988

  • Softcover ISBN: 978-3-642-05741-0Published: 30 November 2010

  • eBook ISBN: 978-3-662-03364-7Published: 17 April 2013

  • Edition Number: 1

  • Number of Pages: VII, 138

  • Number of Illustrations: 3 b/w illustrations

  • Additional Information: Jointly published with Association of Swiss Actuaries

  • Topics: Probability Theory and Stochastic Processes, Quantitative Finance

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