In many applications, the manifest variables are not even approximately multivariate normal. If this happens to be the case with your data set, the default generalized least-squares and maximum ...

Recent advances in estimation techniques have underscored the growing importance of shrinkage estimation and balanced loss functions in the analysis of multivariate normal distributions. These ...

This is a preview. Log in through your library . Abstract The paper examines the nature of the latent random variables which occur in linear structural models, under the assumption that they are ...

The grouped continuous model for multivariate ordered categorical data is described. This is based on partitioning an underlying multivariate normal distribution. Straightforward maximum likelihood ...