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Credible Means are exact Bayesian for Exponential Families

Published online by Cambridge University Press:  29 August 2014

William S. Jewell*
Affiliation:
University of California, Berkeley and Teknekron, Inc
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Abstract

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The credibility formula used in casualty insurance experience rating is known to be exact for certain prior-likelihood distributions, and is the minimum least-squares unbiased estimator for all others. We show that credibility is, in fact, exact for all simple exponential families where the mean is the sufficient statistic, and is also exact in an extended sense for all regular distributions with their natural conjugate priors where there is a fixed-dimensional sufficient statistic.

Type
Research Article
Copyright
Copyright © International Actuarial Association 1974

References

[1]Bailey, A. L., “Credibility Procedures, LaPlace's Generalization of Bayes' Rule, and the Combination of Collateral Knowledge with Observed Data”, Proceedings of the Casualty Actuarial Society, Vol. 37, 723, 1950; Discussion, Proceedings of the Casualty Actuarial Society, Vol. 37, pp. 94–115. 1950Google Scholar
[2]Bühlmann, H., “Experience Rating and Credibility”, ASTIN Bulletin, Vol. 4, Part 3, 199207, July 1967.CrossRefGoogle Scholar
[3]Bühlmann, H., Mathematical Methods in Risk Theory, Springer-Verlag, New York, 1970.Google Scholar
[4]DeGroot, M.H., Optimal Statistical Decisions, McGraw-Hill, New York, 1970.Google Scholar
[5]Ericson, W.A., “A Note on the Posterior Mean of a Population Mean”, Journal of the Royal Statistical Society, Series B, Vol. 31, No. 2, pp. 332334, 1969.Google Scholar
[6]Ferguson, T.S., Mathematical Statistics: A Decision Theoretic Approach, Academic Press, New York, 1967.Google Scholar
[7]Hewitt, C.C. Jr., “Credibility for Severity”, Proceedings of the Casualty Actuarial Society, Vol. 57, 148171, 1970; Discussion, Proceedings of the Casualty Actuarial Society, Vol. 58, 25–31, 1971.Google Scholar
[8]Jewell, W.S., “Multi-Dimensional Credibility“, ORC 73-7, Operations Research Center, University of California, Berkeley, April 1973; to appear in Journal of the American Risk Insurance Association.Google Scholar
[9]Jewell, W.S., “Models of Multi-Dimensional Credibility”, (in preparation).Google Scholar
[10]Jewell, W.S., “The Credible Distribution”, ORC 73-13, Operations Research Center, University of California, Berkeley, August 1973; ASTIN Bulletin, Vol. VII, Part 3.Google Scholar
[11]Lehmann, E. L., Testing Statistical Hypotheses, John Wiley and Sons, Inc., New York, 1959.Google Scholar
[12]Longley-COOK, L. H., “An Introduction to Credibility Theory”, Proceedings of the Casualty Actuarial Society, Vol. 49, 194221, 1962; Available as a separate report from Casualty Actuarial Society, 200 East 42nd Street, New York, New York 10017.Google Scholar
[13]Mayerson, A.L., “A Bayesian View of Credibility“, Proceedings of the Casualty Actuarial Society, Vol. 51, 85104, 1964; Discussion, Proceedings of the Casualty Actuarial Society, Vol. 52, 121–127, 1965.Google Scholar
[14]Van der Pol, B. and Bremmer, H., Operational Calculus, 2nd Edition, University Press, Cambridge, 1955.Google Scholar