Small Sample Properties of Robust Analysis of Variance for Fixed and Random Effects Models.

Abstract

The major shortcoming of robust methodology in statistical linear models has been a limitation primarily to parameter estimation in fixed effects models. The major competitor, classical least squares methodology, by contrast offers a unified treatment of estimation, testing, and multiple comparisons techniques in a wide range of fixed and random effects models. Research efforts have been directed toward filling the void in robust methods in order to provide a complete alternative to least squares procedures. This report summarizes the results. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1982
Accession Number
ADA113877

Entities

People

  • Joseph W. Mckean
  • Ronald M. Schrader

Organizations

  • University of New Mexico

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Analysis Of Variance
  • Anomaly Detection
  • Applied Mathematics
  • Change Detection
  • Combinatorial Analysis
  • Contracts
  • Contrast
  • Data Analysis
  • Data Science
  • Detection
  • Distribution Theory
  • Information Science
  • New Mexico
  • New York
  • Scientists
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Theoretical Analysis.