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.

N. BALAKRISHNAN, PhD, is Professor of Mathematics and Statistics at McMaster University in Hamilton, Ontario, Canada. <BR>

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.

What is included with this book?

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A Primer on Statistical Distributions

Summary

Author Biography

Table of Contents

Supplemental Materials