On the Problems of Construction and Statistical Inference Associated with a Generalization of Canonical Variables.

Abstract

Canonical correlation analysis provides a means by which the relation between two sets of variates can be assessed. The present study is concerned with an extension to K sets of variates. As in the case of two sets of variates, linear combinations of the variates are used, but now alternative criteria need be defined. The criteria developed are based on the generalized variance. Properties and tests using this criterion are obtained. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1982
Accession Number
ADA115315

Entities

People

  • Ashis Sen Gupta

Organizations

  • Stanford University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Correlation Analysis
  • Data Science
  • Estimators
  • Factor Analysis
  • Information Science
  • Maximum Likelihood Estimation
  • Military Research
  • Multivariate Analysis
  • New York
  • Normal Distribution
  • Random Variables
  • Regression Analysis
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference
  • Statistical Samples

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference