Team presents new theoretical strategy for generating asymmetric distributions in probability and statistics

As is well known, the normal distribution is a key tool in probability and statistics. It can be described as a distribution that obeys a universal rule derived from one of the most important theorems in probability: the central limit theorem, often called the CLT. More practically, it also describes how some data naturally cluster around a central value, the shape of whose corresponding histograms (representing the distribution of the data) is a well equilibrated bell curve.