The analysis of series of crop variety trials has a long history with the earliest approaches
being based on ANOVA methods. Kempton (1984) discussed the inadequacies of this …

The majority of past and current individual-tree growth modelling methodologies have failed
to characterise and incorporate structured stochastic components. Rather, they have relied …

ASReml-R is a statistical package that fits linear mixed models using Residual Maximum
Likelihood (REML) in the R environment. This package uses the same computational kernel …

The book describes and discusses the numerical methods which are successfully being
used for analysing ecological data, using a clear and comprehensive approach. These …

Autocorrelation is a very general statistical property of ecological variables observed across
geographic space; it most common forms are patches and gradients. Spatial autocorrelation …

A strategy of using an average information matrix is shown to be computationally convenient
and efficient for estimating variance components by restricted maximum likelihood (REML) …

An important aim of the analysis of agricultural field experiments is to obtain good
predictions for genotypic performance, by correcting for spatial effects. In practice these …

Gaussian conditional autoregressions have been widely used in spatial statistics and
Bayesian image analysis, where they are intended to describe interactions between random …

We identify three major components of spatial variation in plot errors from field experiments
and extend the two-dimensional spatial procedures of Cullis and Gleeson (1991) to account …

ASReml-R fits the linear mixed model using Residual Maximum Likelihood (REML) and is a
joint venture between the Queensland Department of Primary Industries & Fisheries …