A Missing Information Principle: Theory and Applications

Abstract

The problem that a relatively simple analysis is changed into a complex one just because some of the information is missing, is one which faces most practicing statisticians at some point in their career. Obviously the best way to treat missing information problems is not to have them. Unfortunately circumstances arise in which information is missing and nothing can be done to replace it for one reason or another.

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Document Details

Document Type
Technical Report
Publication Date
Jun 20, 1970
Accession Number
AD1022173

Entities

People

  • Max A. Woodbury

Organizations

  • Duke University Hospital

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Biometrics
  • Combinatorial Analysis
  • Computational Science
  • Covariance
  • Data Science
  • Distribution Functions
  • Estimators
  • Factor Analysis
  • Information Science
  • Maximum Likelihood Estimation
  • Normal Distribution
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Inference
  • Statistics

Readers

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  • Educational Psychology