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 discrete random variables ...

The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

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 ...

Walter Van Assche, A Random Variable Uniformly Distributed between Two Independent Random Variables, Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 49, No. 2 (Jun., 1987), pp.