Some Statistical Inference Problems in Linear Models and Variance Components Models and Their Applications

Abstract

The proposal dealt with several statistical inference problems in the context of univariate and multivariate linear models having effects, i.e., fixed effects as well as random effects. Most of the articles that were completed under the grant are on the following topics: (1) improved nonnegative estimation of variance components. (2) exact and/or optimum tests for the fixed effects. and (3) exact and/or optimum tests for variance components. The results have the potential for applications in all areas where the mixed model methodology is used and the applications are highlighted in in most of the articles that were written based on the problems in the proposal.

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Document Details

Document Type
Technical Report
Publication Date
Mar 10, 1993
Accession Number
ADA264062

Entities

People

  • Thomas Mathew

Organizations

  • University of Maryland, Baltimore

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Combinatorial Analysis
  • Data Analysis
  • Data Mining
  • Data Science
  • Estimators
  • Hypotheses
  • Information Science
  • Multivariate Analysis
  • Nonparametric Statistics
  • Probability
  • Statistical Algorithms
  • Statistical Data
  • Statistical Inference
  • Statistical Tests
  • Statistics
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Operations Research
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms