Abstract
AbstractThe S‐distribution is defined by the ordinary differential equation dF/dX = α(Fg — Fh Fo = F(Xo), where F is the cumulative distribution of the random variable X, and α, g, h, and Fo are parameters. The S‐distribution was recently described in this journal as a tool for the approximation and classification of univariate, unimodal continuous probability distributions. This article shows that the S‐distribution rather accurately models the commonly used univariate discrete distributions.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
