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 ...

In this paper, we study the distribution of the log-modulus of a Gaussian complex random variable. In the circular case, it is a Log-Rayleigh (LR) variable, whose probability distribution function ...

The characterization result based on expectation of function of random variable has been obtained for generalized uniform distribution. Applications are given for illustrative purpose including a ...

Probability density function is a statistical expression defining the likelihood of a series of outcomes for a continuous variable, such as a stock or ETF return.

This paper considers estimation of a random variable in Poisson noise with signal scaling coefficient and dark current as explicit parameters of the noise model. Specifically, the paper focuses on ...

This note suggests that expressing a distribution function as a mixture of suitably chosen distribution functions leads to improved methods for generating random variables in a computer. The idea is ...

The Distribution Function (also called the cumulative distribution function or cdf) of random a random variable, X, is defined by Probability distributions (or pdf's) for the Random Variable Examples.

This project about distribution of function of random variable. We used Geometric, Binomial, Poisson, Uniform distribution & their ploting using python. This project is Developed by Group C. Gr ...

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.