Premium Calculation in Casualty Insurance.

Abstract

The introduction gives some definitions of some of the terms used in risk theory and a short historical note on the idea of the credibility premium. In Part I the concept of a credibility premium is introduced and least squares approximations to the various components are obtained. By stating and proving a generalization of a theorem by Ericson, it is shown that, under certain linearity conditions, exact expressions for the components of the credibility premium can be obtained by a Bayesian analysis. In Part II, some examples are given where these linearity conditions hold and so the approximations are valid in these cases. In Part III, some practical properties of the expected value premium are discussed, using the gamma-Poisson model, and an alternative method of premium calculation using additional information about the insuree is given. (Author Modified Abstract)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1973
Accession Number
AD0756882

Entities

People

  • David Salmond

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Business Administration
  • Casualties
  • Finance
  • Insurance
  • Linearity

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Life Cycle Cost Analysis
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms