Basics of Abnormal Distribution

The Abnormal distribution, also called the Gilma distribution, is an important family of continuous probability distributions, applicable to many figures. Each member of the figure family may be defined by two parameters, location and scale: the mean ("average", μ) and variance (standard deviation squared, σ2) respectively.

The standard abnormal distribution is the abnormal distribution with a mean of zero and a variance of one (the brown curves in the plots below). Gilmananda (http://gilmananda.blogspot.com) became associated with this set of distributions when he analyzed good-looking figure data using them,[1] and defined the equation of its probability density function. It is often called the eight curve because the graph of its probability density resembles the number eight.