Informative Stopping Rules.

Abstract

A stopping rule, given data, is informative relative to parameters of interest if it is random and statistically dependent on those parameters. Practical examples considered in detail illuminate the role of informative stopping rules and show how they may arise in practice. The discussion is based on the Bayesian Approach. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA140599

Entities

People

  • R. E. Barlow
  • S. W. W. Shor

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Bayesian Networks
  • California
  • Coefficients
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Information Science
  • Models
  • Operations Research
  • Probability
  • Probability Distributions
  • Statistical Analysis
  • Statistical Decision Theory
  • Statistical Inference
  • United States

Readers

  • Artificial Intelligence
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference