Recursive residuals have been shown to be useful in a variety of applications in linear
models. Unlike the more familiar ordinary least squares residuals or studentized residuals …

The concern over outliers is old since Bernoulli (see [12]), reviewed historically by [11] and
updated with [10] in their encyclopedia textbook. James et al.[46] used simulation technique …

An insightful approach to the analysis of variance in the study of linear models Linear
Models explores the theory of linear models and the dynamic relationships that these …

Two‐way layouts are common in grain industry research where it is often the case that there
are one or more covariates. It is widely recognised that when estimating fixed effect …

If observations are lost from an experiment involving one or more forms of blocking, it can
happen that the resultant design is treatment disconnected which has serious implications …

In analysing a well known data set from the literature which can be thought of as a two-way
layout it transpires that a robust adaptive regression approach for identifying outliers fails to …

The variability among data may have quite complex structure and the splitting of variation
into its individual components is important in many areas of applications. In particular, the …

The history of orthogonal components in the analysis of variance and of the Helmert
transformation is allied to more recent mathematical representations of Kronecker products …

The use of residuals for detecting departures from the assumptions of the linear model with
full-rank covariance, whether the design matrix is full rank or not, has long been recognized …

The economic impact of frost upon the Australian grains industry is significant. This has lead
to the establishment of research programs, such as the Australian National Frost Program …