Xiaojie Liu / Investopedia How a Random Variable Works Random variables are used in probability and statistics to quantify outcomes of a random occurrence, and they can therefore take on many values.

A discrete distribution is a statistical probability distribution that represents the possible discrete values a variable can take.

Additionally, you will learn about conditional probability, random variables, probability distributions, and real-life applications of probability.

Wassily Hoeffding, Probability Inequalities for Sums of Bounded Random Variables, Journal of the American Statistical Association, Vol. 58, No. 301 (Mar., 1963), pp. 13-30 ...

Fundamental methods are developed for the derivation of the probability density function and moments of rational algebraic functions of independent random variables. Laplace and Mellin integral ...

Introduction to the theories of probability and random variables, and their applications in the analysis and modelling of engineering systems.

Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness ...

This course covers the ideas underlying statistical modelling, its implementation through computational methods, and links to practical applications. Topics include probability and random variables, ...

Description: Basic concepts of probability and random variables. Time-dependent reliability models. Strength-based reliability and interference theory. Weakest-link and fail-safe systems. Extremal ...

Introduction to the theories of probability and random variables, and their applications in the analysis and modelling of engineering systems.