Bayesians Learn While Waiting.

Abstract

In many estimation problems, incomplete as well as complete samples are available for Bayesian prediction. After developing the theory for a special, but useful family of distributions, examples are given in life testing, renewal risk processes, life contingencies, and the problem of estimating a defective distribution. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1977
Accession Number
ADA071412

Entities

People

  • William S. Jewell

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • California
  • Data Sets
  • Distribution Functions
  • Hazards
  • Industrial Engineering
  • Intervals
  • Learning
  • Models
  • Observation
  • Operations Research
  • Probability
  • Random Variables
  • Risk
  • Scientific Research
  • United States

Fields of Study

  • Mathematics

Readers

  • Artificial Intelligence
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference