A primer on statistical distributions

Description

Designed as an introduction to statistical distribution theory. * Includes a first chapter on basic notations and definitions that are essential to working with distributions. * Remaining chapters are divided into three parts: Discrete Distributions, Continuous Distributions, and Multivariate Distributions. * Exercises are incorporated throughout the text in order to enhance understanding of materials just taught Content: Preliminaries -- DISCRETE DISTRIBUTIONS -- Discrete Uniform Distribution -- Degenerate Distribution -- Bernoulli Distribution -- Binomial Distribution -- Geometric Distribution -- Negative Binomial Distribution -- Hypergeometric Distribution -- Poisson Distribution -- Miscellanea -- CONTINUOUS DISTRIBUTIONS -- Uniform Distributions -- Cauchy Distribution -- Triangular Distribution -- Power Distribution -- Pareto Distribution -- Beta Distribution -- Arc-Sine Distrribution -- Exponential Distribution -- Laplace Distribution -- Gamma Distribution -- Extreme Value Distributions -- Logistic Distribution -- Normal Distribution -- Miscellanea -- MULTIVARIATE DISTRIBUTIONS -- Multinomial Distribution -- Multivariate Normal Distribution -- Dirichlet Distribution.