Tests When Errors are Correlated in a Randomized Block Design

Abstract

Consider a randomized block design where the errors are correlated within a block but are independent from block to block. The theory for testing the significance for the treatment effects was done by Box (1954) and Geisser and Greenhouse (1958), and a partial solution was given by Gray ill (1954). A more general solution to this problem is now presented and several test procedures are derived.

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Document Details

Document Type
Technical Report
Publication Date
Jul 24, 1971
Accession Number
AD0735452

Entities

People

  • Robert L. Mason

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Analysis Of Variance
  • Coefficients
  • Combinatorial Analysis
  • Computations
  • Covariance
  • Data Science
  • Equations
  • Greenhouses
  • Hypotheses
  • Information Science
  • New York
  • Probability
  • Statistics
  • Two Dimensional
  • United States
  • Vector Spaces

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.