On Reduction of Dimensionality under Multivariate Regression and Canonical Correlation Models.

Abstract

In this paper, the author gives a review of the literature on various techniques for determination of the ranks of regression matrix and canonical correlation matrix. Also, methods of selection of important original variables under multivariate regression and canonical correlation models are reviewed. The methods reviewed involve not only tests of hypotheses but also model selection methods based upon information theoretic criteria. Keywords: Contingency tables; correlated multivariate regression equations model; discriminant analysis; econometrics; likelihood ratio test; linear and structural relations; pattern recognition; random effects model. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1986
Accession Number
ADA170025

Entities

People

  • Paruchuri R. Krishnaiah

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Correlation Analysis
  • Covariance
  • Data Science
  • Discriminant Analysis
  • Eigenvalues
  • Equations
  • Factor Analysis
  • Hypotheses
  • Information Science
  • Literature
  • Multivariate Analysis
  • Regression Analysis
  • Square Roots
  • Statistics
  • United States Government
  • Wishart Matrices

Fields of Study

  • Mathematics

Readers

  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference