Genetic parameters for a range of sheep production traits have been reviewed from estimates
published over the last decade. Weighted means and standard errors of estimates of direct …

ASReml is a statistical package that fits linear mixed models using Residual Maximum Likelihood
(REML). It has been under development since 1993 and is a joint venture between the …

Federal policies have aimed to improve access to grade-level curriculum for students with
disabilities (SWD). Current conceptualizations of access posit that it is evidenced by students’ …

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) …

A compelling association has been observed between cardiovascular disease (CVD) and
depression, suggesting individuals with depression to be at significantly higher risk for CVD …

ASReml is a statistical package that fits linear mixed models using Residual Maximum
Likelihood (REML). It has been under development since 1993 and arose out of collaboration …

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 (…

Microwave tubes are vacuum electron devices used for the generation and amplification of
radio frequencies in the microwave range. An established technology area, the use of tubes …

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 as …