A simple random sample is used to represent the entire data population. A stratified random sample divides the population into smaller groups based on shared characteristics.

What is the difference between representative samples and random samples, and how are they are used to reduce sampling bias?

In high dimensions, the classical Hotelling's T² test tends to have low power or becomes undefined due to singularity of the sample covariance matrix. In this article, this problem is overcome by ...