A BAYESIAN APPROACH TO SOME MISSING VALUE PROBLEMS IN ANOVA AND CONTINGENCY TABLES

Abstract

Non-Bayesian procedures for dealing with missing values in ANOVA and contingency tables are well-known. This paper derives the appropriate Bayesian procedures for a randomized block design and for and r x c contingency table. The posterior distributions for the missing observation are given. This paper shows that the classical non-Bayesian procedures do have a simple and natural Bayesian interpretation.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1966
Accession Number
AD0643852

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  • Daniel Bloch

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  • Johns Hopkins University

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  • C4I

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  • Abstracts
  • Asymptotic Series
  • Bayesian Networks
  • Classification
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  • Mathematics

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  • Regression Analysis.

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  • AI & ML
  • AI & ML - Bayesian Inference