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.
Зміст
Preface.
Preliminaries.
I. DISCRETE DISTRIBUTIONS.
Discrete Uniform Distribution.
Degenerate Distribution.
Bernoulli Distribution.
Binomial Distribution.
Geometric Distribution.
Negative Binomial Distribution.
Hypergeometric Distribution.
Poisson Distribution.
Miscellanea.
II. CONTINUOUS DISTRIBUTIONS.
Uniform Distribution.
Cauchy Distribution.
Triangular Distribution.
Power Distribution.
Pareto Distribution.
Beta Distribution.
Arcsine Distribution.
Exponential Distribution.
Laplace Distribution.
Gamma Distribution.
Extreme Value Distributions.
Logistic Distribution.
Normal Distribution.
Miscellanea.
III. MULTIVARIATE DISTRIBUTIONS.
Multinomial Distribution.
Multivariate Normal Distribution.
Dirichlet Distribution.
Appendix – Pioneers in Distribution Theory.
Bibliography.
Author Index.
Subject Index.
Про автора
N. BALAKRISHNAN, Ph D, is Professor of Mathematics and Statistics at Mc Master University in Hamilton, Ontario, Canada.
V. B. NEVZOROV, Ph D, DS, is Professor of Probability and Statistics at St. Petersburg State University in St. Petersburg, Russia.
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