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Generalized Linear Models for Insurance Data

$80.00 ( ) USD

Part of International Series on Actuarial Science

  • Date Published: April 2008
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511380983

$ 80.00 USD ( )
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  • This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.

    • Tailored to needs of actuaries
    • All techniques illustrated on real data sets relevant to insurance
    • Exercises and data-based practicals consolidate skills
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    Reviews & endorsements

    "I would recommend such a book to my students without hesitation."
    Cho-Jieh Chen, Journal of the American Statistical Association

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    Product details

    • Date Published: April 2008
    • format: Adobe eBook Reader
    • isbn: 9780511380983
    • contains: 34 b/w illus. 5 colour illus. 43 tables 25 exercises
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    Preface
    1. Insurance data
    2. Response distributions
    3. Exponential family responses and estimation
    4. Linear modeling
    5. Generalized linear models
    6. Models for count data
    7. Categorical responses
    8. Continuous responses
    9. Correlated data
    10. Extensions to the Generalized linear model
    Appendix 1. Computer code and output
    Bibliography
    Index.

  • Resources for

    Generalized Linear Models for Insurance Data

    Piet de Jong, Gillian Z. Heller

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    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

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  • Authors

    Piet de Jong, Macquarie University, Sydney
    Gillian Heller is Associate Professor of Statistics at Macquarie University. She has been teaching GLM to actuarial students for the past ten years, and has given several outside courses on GLMs to research analysts in insurance companies.

    Gillian Z. Heller, Macquarie University, Sydney
    Piet de Jong is Professor of Actuarial Studies at Macquarie University. His research interests lie mainly in time series analysis and forecasting as well as actuarial areas, and he has consulted widely in the insurance and forecasting areas in both Australia and North America.

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