The Role of Exchangeability in Inference.

Abstract

This paper is concerned with basic problems of statistical inference. The thesis is in three parts: (1) that inference is a procedure whereby one passes from a population (or sample) to a new individual; (2) that this connection can be established using de Finetti's idea of exchangeability or Fisher's concept of a subpopulation; and (3) in making the connection use must be made of the appropriate probability. These three principles are used in a variety of situations and the topics discussed include analysis of variance and covariance, contingency tables, and calibration. Some comments on randomization are also included. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1979
Accession Number
ADA077378

Entities

People

  • D. V. Lindley
  • Melvin R. Novick

Organizations

  • University of Iowa

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Capillary Electrophoresis
  • Combinatorial Analysis
  • Covariance
  • Data Analysis
  • Data Science
  • Data Sets
  • Databases
  • Educational Psychology
  • Information Science
  • Military Research
  • Probability
  • Random Variables
  • Social Sciences
  • Statistical Inference
  • Students
  • Universities

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.
  • Theoretical Analysis.

Technology Areas

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