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Home > Education > Mathematics > Actuarial Modelling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems-eBook
Actuarial Modelling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems
 
 
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Actuarial Modelling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems
This book offers a comprehensive treatment of the various experience rating systems applicable to automobile insurance and their relationships with risk classification. It also summarizes the most recent developments in the field, presenting ratemaking systems, whilst taking into account exogenous information. The book includes numerous illustrations using advanced statistical software to allow for a deep understanding of the concepts. It also offers all the actuarial techniques to design bonus-malus mechanisms. This is an extremely timely addition to the literature, as European directives recently introduced complete rating freedom, allowing companies to set up their own rates, select their own classification variables and design their own BMS. The book will prove a valuable supplement to Actuarial courses and professional insurance bodies.
  • Offers the first self-contained, practical approach to a priori and a posteriori ratemaking in motor insurance.
  • Discusses the issues of claim frequency and claim severity.
  • Presents recent developments in actuarial science and exploits the generalized linear model and generalized linear mixed model to achieve risk classification.
  • Presents credibility mechanisms as refinements of commercial Bonus-Malus scales.
  • Provides practical applications with real data sets processed with SAS statistical software, widely used in the insurance industry.
  • Features a supporting website containing solutions to the numerous exercises, and further examples and tasks.
  • Examines multi-events systems.
  • Examines combinations of deductibles and Bonus-Malus systems.


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Title of ebook: Actuarial Modelling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems
ISBN: 9780470517413
Publisher: John Wiley & Sons, Ltd.
Internet download file size: 4070 kb
Pages: 384
Released online for download: 09-27-2007
Author of eBook: Denuit, Michel
Author of eBook: Marechal, Xavier
Author of eBook: Pitrebois, Sandra

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Actuarial Modelling of Claim Counts

Risk Classification, Credibility and Bonus-Malus Systems

Chapter One

Mixed Poisson Models for Claim Numbers

1.1 Introduction

1.1.1 Poisson Modelling for the Number of Claims

In view of the economic importance of motor third party liability insurance in industrialized countries, many attempts have been made in the actuarial literature to find a probabilistic model for the distribution of the number of claims reported by insured drivers. This chapter aims to introduce the basic probability models for count data that will be applied in motor insurance. References to alternative models are gathered in the closing section to this chapter. The Binomial distribution is the discrete probability distribution of the number of successes in a sequence of n independent yes/no experiments, each of which yields success with probability q. Such a success/failure experiment is also called a Bernoulli experiment or Bernoulli trial. Two important distributions arise as approxim ... read full excerpt from Actuarial Modelling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems ebook



 


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