The Interpretations and Applications of the Index of Redundancy and the Redundancy Transformations.

Abstract

The index of redundancy has been receiving increasing attention in disciplines which employ applied multivariate techniques, particularly psychology and education. This index purports to measure the degree to which one random vector can predict another random vector. In this paper attention is focused on present applications and interpretations of the index of redundancy, and relationship between the index and other multivariate techniques. Also, simultaneous transformations of the two random vectors, which differ from the standard canonical transformations, are derived and motivated. These simultaneous transformations are shown to be naturally related to the index of redundancy. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1980
Accession Number
ADA082849

Entities

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  • David E. Tyler

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  • Princeton University

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DTIC Thesaurus Topics

  • Behavioral Sciences
  • Computer Programs
  • Correlation Analysis
  • Covariance
  • Data Analysis
  • Data Science
  • Education
  • Geography
  • Health
  • Information Science
  • Multivariate Analysis
  • New York
  • Psychology
  • Public Health
  • Standards
  • Statistics
  • United States

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