In probability and statistics, the generalized beta distribution is a continuous probability distribution with four shape parameters, including more than thirty named distributions as limiting or special cases. A fifth parameter for scaling is sometimes included, while a sixth parameter for location is customarily left implicit and excluded from the characterization. The distribution has been used in the modeling of income distribution, stock returns, as well as in regression analysis. The exponential generalized beta (EGB) distribution follows directly from the GB and generalizes other common distributions.