Restricted maximum likelihood (REML) is now well established as a method for estimating the parameters of the general Gaussian linear model with a structured covariance matrix, in particular for mixed linear models. Conventionally, estimates of precision and inference for fixed effects are based on their asymptotic distribution, which is known to be inadequate for some small-sample problems. In...

A number of studies have documented that autism has a neurobiological basis, but the anatomical extent of these neurobiological abnormalities is largely unknown. In this paper, we apply advanced computational techniques to extract 3D models of the corpus callosum (CC) and subsequently analyze local shape variations in a homogeneous group of autistic children. Besides the traditional volumetric ...

Scale measurements, percentages of annual scale growth, and back-calculated fish lengths were examined for the INPFC method (75 0 anterior reference line) and Traditional method (anterior-posterior reference line) on scales of chum salmon (Oncorhynchus keta) for three ages, two stocks, and two brood years. Mean measurements of annual increments of scale growth were greater for the INPFC method ...

The monitoring of a multivariate process with the use of multivariate statistical process control MSPC charts has received considerable attention. However, in practice, the use of MSPC chart typically encounters a difficulty. This difficult involves which quality variable or which set of the quality variables is responsible for the generation of the signal. This study proposes a hybrid schemewh...