作者：GREEN, PJ
摘要：Spatial methods for the analysis of agricultural field experiments are represented here as smoothing methods applied simultaneously with the estimation of treatment effects. Selection of both the form of the smoother and the degree of smoothing required may be based on cross-validation. Particular emphasis is placed in this paper on generalized least squares estimation in linear models, but the principle applies quite generally.
作者：DUPAC, V; HERKENRATH, U
作者单位：University of Bonn
摘要：The Robbins-Monro stochastic approximation procedure is modified so as to be applicable in the presence of delayed observations; asymptotic properties of the modified procedure are investigated.
作者：GILMOUR, AR; ANDERSON, RD; RAE, AL
作者单位：Massey University
摘要：Methods for generalized linear models are extended to provide estimates of location and variance parameters for mixed models fitted to binomial data formed by classifying samples from an underlying normal distribution. The method estimates the parameters directly on the underlying scale. For a balanced one-way random effects model, the variance estimator simplifies to the usual analysis of variance one. The estimation of variances and the prediction of random effects for binomial traits is req...
