A Bayesian Interpretation of Data Trimming to Remove Excess Claims,
Abstract
The effect of excess or catastrophic claims is well recognized in insurance. For example, in experience rating it is customary to truncate the data to minimize the effect of such outliers; Gisler has recently proposed a credibility formula using such data trimming. This paper develops a model of the excess claims process and finds the exact Bayesian forecast. The resulting forecast form is approximately a data trim, thus justifying the simpler, heuristic approach.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1981
- Accession Number
- ADA111807
Entities
People
- William S. Jewell
Organizations
- University of California, Berkeley