Monte-Carlo-Simulations-on-an-Exponentially-Distributed-Random-Variable To use MATLAB and Monte Carlo simulations to demonstrate that the exponentially distributed random variable X with parameter ...

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.

This paper is concerned with the determination of tight lower and upper bounds on the expectation of a convex function of a random variable. The classic bounds are those of Jensen and ...

Jensen gave a lower bound to Eρ (T), where ρ is a convex function of the random vector T. Madansky has obtained an upper bound via the theory of moment spaces of multivariate distributions. In ...

We present two novel methods for the generation of Fox's H-function distributed random variables (RVs), which have been recently used to model fading in various wireless communication scenarios. The ...