Probability distributions are characterized as either discrete or continuous, and as working as either a probability density function, or a cumulative distribution.

The two functions are also related mathematically — you can obtain the cumulative distribution function of a random variable by integrating its probability density function.

What Is a Probability Density Function (PDF)? The probability density function (PDF) is an analytical technique that outlines how likely different outcomes are across a range of possibilities.

In this article we review two historical approximations to the Poisson and binomial cumulative distribution functions (CDFs); that is, the Wilson—Hilferty and Camp—Paulson approximations. Both of ...

The Distribution of the Maximum Deviation Between two Sample Cumulative Step Functions, The Annals of Mathematical Statistics, Vol. 22, No. 1 (Mar., 1951), pp. 125-128 ...