Continuous Univariate Distributions, Volume 1

The definitive reference for statistical distributions

Continuous Univariate Distributions, Volume 1 offers comprehensive guidance toward the most commonly used statistical distributions, including normal, lognormal, inverse Gaussian, Pareto, Cauchy, gamma distributions and more. Each distribution includes clear definitions and properties, plus methods of inference, applications, algorithms, characterizations, and reference to other related distributions. Organized for easy navigation and quick reference, this book is an invaluable resource for investors, data analysts, or anyone working with statistical distributions on a regular basis.

Continuous Distributions (General).
Normal Distributions.
Lognormal Distributions.
Inverse Gaussian (Wald) Distributions.
Cauchy Distribution.
Gamma Distributions.
Chi-Square Distributions Including Chi and Rayleigh.
Exponential Distributions.
Pareto Distributions.
Weibull Distributions.
Abbreviations.
Indexes.

NORMAN L. JOHNSON, PHD, was Professor Emeritus, Department of Statistics, University of North Carolina at Chapel Hill. Dr. Johnson was Editor-in-Chief of the Encyclopedia of Statistical Sciences, Second Edition.

SAMUEL KOTZ, PHD, is Professor and Research Scholar, Department of Engineering Management and Systems Engineering, The George Washington University in Washington, DC.