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.

Discrete random variable. A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . . For example, stock prices are ...

Excel uses the function RAND() to return a random and uniformly distributed number between 0 and 1, every time the worksheet is calculated. If you are analyzing how fluctuations in sales will ...

A continuous distribution refers to a random variable drawn from an infinite set. Examples of continuous random variables include speed, distance, and some asset returns.

Gaussian Processes – jointly Gaussian random variables, covariance matrices, filtered processes, power spectral density. Bayesian Estimation – MMSE criteria, estimation and Gaussian random vectors, ...

This paper shows how the correlated random effects approach can be extended to linear panel data models when instrumental variables are needed and the panel is unbalanced. We obtain the algebraic ...