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.

A linear relationship (or linear association) is a statistical term used to describe the directly proportional relationship between a variable and a constant.

The linear function is popular in economics. It is attractive because it is simple and easy to handle mathematically. It has many important applications. Linear functions are those whose graph is a ...

This paper is concerned with the problem of policy evaluation with linear function approximation in discounted infinite horizon Markov decision processes.

The importance of having improved bounds is illustrated through a non-linear programming problem with stochastic objective function, known as the "wait and see" problem.

For example four moments and four linear combinations under general conditions (specified later) determine the distribution of n = 56 independent random variables, but not of 57.