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Introductory Statistics with Applications in General Insurance

Author

Listed:
  • Hossack,I. B.
  • Pollard,J. H.
  • Zehnwirth,B.

Abstract

This is a new edition of a very successful introduction to statistical methods for general insurance practitioners. No prior statistical knowledge is assumed, and the mathematical level required is approximately equivalent to school mathematics. Whilst the book is primarily introductory, the authors discuss some more advanced topics, including simulation, calculation of risk premiums, credibility theory, estimation of outstanding claim provisions and risk theory. All topics are illustrated by examples drawn from general insurance, and references for further reading are given. Solutions to most of the exercises are included. For the new edition the opportunity has been taken to make minor improvements and corrections throughout the text, to rewrite some sections to improve clarity, and to update the examples and references. A new section dealing with estimation has also been added.

Suggested Citation

  • Hossack,I. B. & Pollard,J. H. & Zehnwirth,B., 1999. "Introductory Statistics with Applications in General Insurance," Cambridge Books, Cambridge University Press, number 9780521652346, January.
    • Handle: RePEc:cup:cbooks:9780521652346
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    Citations

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    Cited by:

    1. Najafabadi, Amir T. Payandeh & Bazaz, Ali Panahi, 2018. "An optimal multi-layer reinsurance policy under conditional tail expectation," Annals of Actuarial Science, Cambridge University Press, vol. 12(1), pages 130-146, March.
    2. Bai, Chong-En & Mao, Jie & Zhang, Qiong, 2014. "Measuring market concentration in China: the problem with using censored data and its rectification," China Economic Review, Elsevier, vol. 30(C), pages 432-447.
    3. Zhang, Huiming & Liu, Yunxiao & Li, Bo, 2014. "Notes on discrete compound Poisson model with applications to risk theory," Insurance: Mathematics and Economics, Elsevier, vol. 59(C), pages 325-336.
    4. Galina Horáková & František Slaninka & Zsolt Simonka, 2021. "The Reduction of Initial Reserves Using the Optimal Reinsurance Chains in Non-Life Insurance," Mathematics, MDPI, vol. 9(12), pages 1-20, June.
    5. Apaydin, Aysen & Baser, Furkan, 2010. "Hybrid fuzzy least-squares regression analysis in claims reserving with geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 47(2), pages 113-122, October.
    6. J. M. Vilar & R. Cao & M. C. Ausin & C. Gonzalez-Fragueiro, 2009. "Nonparametric analysis of aggregate loss models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(2), pages 149-166.
    7. Payandeh Najafabadi, Amir T. & Bazaz, Ali Panahi, 2016. "An optimal co-reinsurance strategy," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 149-155.
    8. Huynh, Mirabelle & Landriault, David & Shi, Tianxiang & Willmot, Gordon E., 2015. "On a risk model with claim investigation," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 37-45.
    9. Berry-Stölzle, Thomas R. & Irlbeck, Steven, 2021. "Religiosity and risk taking: Is there a demand-side effect?," Journal of Corporate Finance, Elsevier, vol. 71(C).

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