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Actuarial Modelling of Claim Counts Risk Classification, Credibility ...

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xiv<br />

<strong>Actuarial</strong> <strong>Modelling</strong> <strong>of</strong> <strong>Claim</strong> <strong>Counts</strong><br />

models and high-dimensional data. The book may also serve as a textbook at graduate level<br />

further to an introduction to basic principles explained in simple models.<br />

The opening Chapters 1 and 2 present basic notions <strong>of</strong> risk and risk characteristics and<br />

their theoretical representation in stochastic models with fixed and random effects and more<br />

or less specified classes <strong>of</strong> distributions. Anticipating the orientation <strong>of</strong> the book, emphasis is<br />

placed on parametric models for the number <strong>of</strong> claims. This gives clarity to the exposition and<br />

also sets a suitable framework for discussion <strong>of</strong> model choice and model calibration that goes<br />

way beyond what is usually found in conventional tutorials. Poisson conditional distributions<br />

with varying exposures are merged with different mixing distributions on the individual<br />

proportional hazards, and there are extensions to generalized linear (regression) models, time<br />

trends, and spatial patterns. Statistical calibration is carried out with maximum likelihood<br />

methods but also with alternative schemes like generalized estimating functions. Ample<br />

numerical examples with authentic data gives real life to the theoretical ideas throughout.<br />

<strong>Claim</strong> counts remain a main theme, but the remainder <strong>of</strong> the book nevertheless presents<br />

a wealth <strong>of</strong> material, partly based on recent research by the authors: credibility theory,<br />

Bayes estimation with exponential loss, bonus-malus systems in a number <strong>of</strong> variations,<br />

elements <strong>of</strong> heavy-tailed distributions, bonus hunger and other ‘behavioural’ problems related<br />

to individual experience rating, optimal design <strong>of</strong> bonus-malus systems for aggregates <strong>of</strong><br />

sub-portfolios, and much more. The final chapter is devoted to a carefully conducted case<br />

study <strong>of</strong> the French bonus-malus system.<br />

I would like to thank the authors for soliciting my views on a draft version <strong>of</strong> the book and<br />

for inviting my preface to their work. Most <strong>of</strong> all I would like to thank them for undertaking<br />

the formidable task <strong>of</strong> collecting and making accessible to a wide readership an area <strong>of</strong><br />

actuarial science that has undergone great changes over the past few decades while remaining<br />

essential to decision making in insurance.<br />

Ragnar Norberg<br />

London, March 2007

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