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.

Sums of lognormal random variables occur in many wireless communications problems, in part, because a shadowing environment is well modeled by a lognormal distribution. A closed-form expression does ...

How to Generate a Random Variable With Normal Distribution in Excel. Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be ...

Example of a probability distribution Consider a simple example of a discrete probability distribution: the roll of a fair six-sided die. The random variable XXX represents the outcome of the roll.

Most of the classic fading variables can be obtained through Nakagami-m distribution and the sum of them has a pivotal role in the analytical performance evaluation of many practical wireless ...

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