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Loss Models: From Data to Decisions, 4th Edition
book

Loss Models: From Data to Decisions, 4th Edition

by Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot
September 2012
Beginner to intermediate
536 pages
14h 40m
English
Wiley
Content preview from Loss Models: From Data to Decisions, 4th Edition

18.6 The Bühlmann–Straub model

The Bühlmann model is the simplest of the credibility models because it effectively requires that the past claims experience of a policyholder comprise i.i.d. components with respect to each past year. An important practical difficulty with this assumption is that it does not allow for variations in exposure or size.

For example, what if the first year’s claims experience of a policyholder reflected only a portion of a year due to an unusual policyholder anniversary? What if a benefit change occurred part way through a policy year? For group insurance, what if the size of the group changed over time?

To handle these variations, we consider the following generalization of the Bühlmann model. Assume that X1,…, Xn are independent, conditional on , with common mean (as before)

equation

but with conditional variances

equation

where mj is a known constant measuring exposure. Note that mj need only be proportional to the size of the risk. This model would be appropriate if each Xj were the average of mj independent (conditional on ) random variables each with mean μ(θ) and variance ...

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Publisher Resources

ISBN: 9781118411650Purchase book