A discrete distribution is a statistical probability distribution that represents the possible discrete values a variable can take.

In a number of situations we are faced with the problem of determining efficient estimates of the mean and variance of a distribution specified by (i) a non-zero probability that the variable assumes ...

A random variable is one whose value is unknown or a function that assigns values to each of an experiment’s outcomes. A random variable can be discrete or continuous.

The method may be used with any discrete distribution and also, as an accurate approximation, with any continuous distribution for the random variable which is to be controlled. Examples are given for ...