The article talks about different types of matrix-variate distributions, which are based on the multivariate normal distribution. It explains the properties of matrix-variate normal, nonsingular and singular Wishart distributions. The researchers introduce the multivariate normal distribution and some Jacobians for matrix transformations to calculate the probability density functions of these distributions.