Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by conducting a ...

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 ...

This is a preview. Log in through your library . Abstract The mean and the variance of a random sample are independently distributed if and only if the parent population is normal. This ...

Normality testing is a fundamental component in statistical analysis, central to validating many inferential techniques that presume Gaussian behaviour of error terms ...