This is a preview. Log in through your library . Abstract The multivariate normal patterned mean and covariance matrix testing problem is studied for general one and k-population hypotheses. T. W.

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 51, No. 3 (Dec., 1989), pp. 425-428 (4 pages) A two-stage analogue of the chi-square test for the mean of a multivariate normal ...

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 ...

Graphical models provide a robust framework for representing the conditional independence structure between variables through networks, enabling nuanced insight into complex high-dimensional data.

This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...