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Tests And Estimators Of Multiplicative Models For Variety Trials, P. L. Cornelius, J. Crossa, M. S. Seyedsadr
Tests And Estimators Of Multiplicative Models For Variety Trials, P. L. Cornelius, J. Crossa, M. S. Seyedsadr
Conference on Applied Statistics in Agriculture
Some recently obtained results on cross validation, hypothesis test and estimation procedures for multiplicative models applied to multi-site crop variety trials are presented. The PRESS statistic is more sensitive to overfitting and choice of model form than data-splitting cross-validation. Because of their extreme liberality, Gollob F-tests should not be used to test multiplicative terms. FGH tests effectively control Type I error, but are conservative for tests of terms for which the previous term is small. "Simulation tests" have greater power than FGH tests, but still effectively control Type I error rates. Simulation results and cross validation in two examples suggest …