These operators lead us to closed-form expressions involving the Meijer G-function for the probability density function and characteristic function of the mixed product of independent beta, gamma and ...

Addresses the topics of probability, random variables, discrete and continuous densities, expectation and variance, special distributions (binomial, Poisson, normal, etc.), moment generating functions ...

It includes discrete and continuous random variables, their probability distributions and analytical and statistical methods for determining the mean, variance and higher order moments that ...

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 ...

CSPB 3022 - Introduction to Data Science with Probability and Statistics CSPB 3022 - Introduction to Data Science with Probability and Statistics *Note: This course description is only applicable for ...

You can use the RAND () function to establish probability and create a random variable with normal distribution.

Youssef Lazar, Bander Almutairi, Dirac distributions related to sums of independent nonidentically uniform random variables, Brazilian Journal of Probability and Statistics, Vol. 35, No. 3 (2021), pp.

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

By using one of the common stock probability distribution methods of statistical calculations, an investor may determine the likelihood of profits from a holding.