In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment. In more technical terms, the probability distribution is a description of a random phenomenon in terms of the probabilities of events (from wiki). Here, probability distributions implement probability density function (PDF), probability mass funciton (PMF), cumulative distribution function (CDF), and inverse cumulative distribution function (ICDF). The detail are listed below.
.._`Bernoulli ref`: https://en.wikipedia.org/wiki/Bernoulli_distribution
.._`Binomial ref`: https://en.wikipedia.org/wiki/Binomial_distribution
.._`Normal ref`: https://en.wikipedia.org/wiki/Log-normal_distribution
.._`Lognormal ref`: https://en.wikipedia.org/wiki/Log-normal_distribution
.._`Poisson ref` https://en.wikipedia.org/wiki/Poisson_distribution
.._`Gamma ref`: https://en.wikipedia.org/wiki/Gamma_distribution