SPATIAL ANALYSIS OF YIELD TRIALS USING SEPARABLE ARIMA PROCESSES

Abstract

worst with respect to MSE. models are frequently the best models regarding SED and the frequently the best models regarding SED and MSE. Differenced with two-dimensional exponential covariance functions are cross-validation approach. It is found that spatial models 2) mean squared error (MSE) of prediction based on a model: 1) standard error of the treatment difference (SED) and trials. Two criteria were used to determine the best spatial Moving Average) processes were used to analyze several yield two-dimensional (separable) ARIMA (Auto Regressive Integrated Spatial analysis procedures based on one-dimensional and ABSTRACT