A Method for Constructing a Unimodal Inferential or Prior Distribution.

Abstract

This paper shows how to take personally assessed information and use it to develop a continuous unimodal prior density function, perhaps for subsequent Bayesian analysis. The method is completely nonparametric and uses only the furnished information and no other. The technique is easily computerized, and yields a closed analytical formula for the prior. The resulting distribution may be considered to be an inferential distribution. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA141389

Entities

People

  • Abraham Charnes
  • K. Paick
  • P. Brockett

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Computer Programming
  • Computer Programs
  • Computers
  • Construction
  • Convex Programming
  • Data Science
  • Information Science
  • Information Theory
  • Military Research
  • Nonlinear Programming
  • Normality
  • Optimization
  • Random Variables
  • Security
  • Statistical Analysis
  • Statistics
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Organizational Psychology.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference