The article discusses different types of matrix distributions, focusing on the properties and characteristics of these distributions. It explores the Normal Matrix Variate and the Wishart Distribution, including their entries distribution and latent roots. The researchers also introduce the Matrix Variate Gamma Distribution and Central Matrix Variate Beta Distributions, detailing their determinant and latent roots distributions. Overall, the study provides insights into the diverse range of matrix variate distributions and their applications in statistical analysis.