A primer on statistical distributions

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. In A Primer On Statistical Distributions, You'll Find A Valuable Review Of Often-overlooked Distributions, Including Geometric, Negative Binomial, Hypergeometric, Pareto, Beta, Gamma, Chi-square, Logistic, Cauchy, Laplace, Extreme Value, Multinomial, Dirichlet, And Multivariate Normal. A Primer On Statistical Distributions Is Not Only Ideal For Students And Professionals In Statistics, It Can Also Benefit Individuals In Applied Areas Such As Psychology, Geography, Economics, And Engineering, And Even Professionals In Need Of A Logically Organized, Comprehensive Reference To Statistical Distributions.--jacket. 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. N. Balakrishnan, V.b. Nevzorov. Includes Bibliographical References (p. 289-296) And Indexes. In this chapter we present some basic notations, notions, and definitions which a reader of this book must absolutely know in order to follow subsequent chapters.