Model Variations in Credibility Theory.

Abstract

Classical credibility theory is a linearized Bayesian forecasting method, in which the expected value of the next observation is obtained as a mixture of a prior mean and the sample mean of observed data. In this paper, the author considers a variety of extensions to this model which appear to have practical importance. The main tool is least-squares theory.

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1974
Accession Number
ADA001338

Entities

People

  • William S. Jewell

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Collaborative Techniques
  • Data Acquisition
  • Delphi Method
  • Observation

Fields of Study

  • Mathematics

Readers

  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference