Widely Usable Analysis of Variance Models.

Abstract

Many results for statistical investigations are valid for more general models than were used in their development. This is the case for situations where independence (or zero correlation), equal variances, and sometimes joint normality are assumed for sets of random variables. This research investigates extended uses of standard results for some analysis of variance situations. Many methods are found to be usable with much more general models, although not all types of effects can be investigated. The research also provides investigation methods that are usable for all the effects. Moreover, the extended models associated with these methods are much more general than those for the standard methods. Section 1 is introductory and includes a statement of the concepts involved. The remaining sections are, with one exception, concerned entirely with analysis of variance. Section 2 describes nonparametric models and methods for one-way ANOVA. Sections 3, 4, and 5 deal with two-way ANOVA with fixed effects. Section 6 deals with n-way ANOVA with fixed effects and no interactions. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1973
Accession Number
AD0765206

Entities

People

  • John E. Walsh

Organizations

  • Southern Methodist University

Tags

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Computing-Related Activities
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Normality
  • Random Variables
  • Standards

Fields of Study

  • Mathematics

Readers

  • Business Analytics
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference