Role of the Papadakis Estimator in One- and Two-Dimensional Field Trials.
Technical summary rept.,
WISCONSIN UNIV-MADISON MATHEMATICS RESEARCH CENTER
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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
- Statistics and Probability