Role of the Papadakis Estimator in One- and Two-Dimensional Field Trials.

Abstract

Field trials when observations are correlated with those in neighboring or nearby plots in one and two dimensions are analyzed using simultaneous autoregressive models. The relationships between the maximum likelihood solutions and the corresponding well-known Papadakis estimators are clarified and it is shown that the maximum likelihood solutions are, for specific types of designs, easier to obtain directly then by iterating on the Papadakis estimator as has been suggested. A simulation study compares the different models and methods for one and two dimensions. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1984
Accession Number
ADA142906

Entities

People

  • D. Faraggi
  • N. R. Draper

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Combinatorial Analysis
  • Data Science
  • Equations
  • Estimators
  • Experimental Design
  • Information Science
  • Mathematics
  • Observation
  • Probability
  • Simulations
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference
  • Statistics
  • Two Dimensional
  • United States
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Statistical inference.