Use of Simultaneous Autoregressive Models in Balanced Incomplete Block and Lattice Square Designs.

Abstract

Simultaneous autoregressive models are applied to balance incomplete block and lattice square designs. Relationships between the resulting maximum likelihood estimators and standard analyses are explored and clarified. Also, it is shown that the Papadakis estimator, as applied to these designs, has the characteristics of the standard analyses, but simply involves fewer plots in the adjustment procedure for treatment averages. A worked example illustrates the differences in treatment estimates in a lattice square design, for standard inter-block analysis and for simultaneous autoregressive assumptions. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1984
Accession Number
ADA141661

Entities

People

  • D. Faraggi
  • N. R. Draper

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Classification
  • Equations
  • Estimators
  • Experimental Design
  • Mathematics
  • New York
  • North Carolina
  • Security
  • Simultaneous Equations
  • Specifications
  • Standards
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference
  • Statistics
  • Two Dimensional
  • United States

Fields of Study

  • Mathematics

Readers

  • Software Engineering
  • Statistical inference.