The matrix-variate normal distribution is a popular model for high-dimensional transposable data because it decomposes the dependence structure of the random matrix into the Kronecker product of two ...

Ke-Hai Yuan, Peter M. Bentler, Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data, Sociological Methodology, Vol. 30 (2000), pp. 165-200 ...

Analysis of covariance combines some of the features of both regression and analysis of variance. Typically, a continuous variable (the covariate) is introduced into the model of an ...

You can filter connections, refresh pivot tables, change data sources, and connect multiple pivot tables from the top menu. It’s one of the effective ways to maximize productivity in Excel.

By projecting high-dimensional data onto lower-dimensional spaces, these tests maintain high power without the computational burden of full covariance estimation, proving particularly useful in ...