Testing Hypotheses in Linear Models with Weighted Rank Statistics.

Abstract

Tests of hypotheses for the parameters in a general linear model are considered based on weighted rank statistics. Results are presented for tests based on a rank estimate, tests based on drop in dispersion and aligned rank tests. Weights can be used to focus the analysis on simple effects and provide an additional degree of robustness to rank tests. Several analysis of variance applications are discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1983
Accession Number
ADA135759

Entities

People

  • G. L. Sievers

Organizations

  • Western Michigan University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Asymptotic Normality
  • Computer Programs
  • Data Science
  • Dispersions
  • Efficiency
  • Factor Analysis
  • Factorial Design
  • Hypotheses
  • Information Science
  • Least Squares Method
  • Mathematical Analysis
  • Mathematics
  • Michigan
  • Random Variables
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.