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Continuous Univariate Distributions, Vol. 1 (Wiley Series in Probability and Statistics) - Hardcover
Synopsis
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.
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From the Publisher
These volumes offer a detailed description of all the major statistical distributions commonly used in various applied fields. Coverage includes general continuous distributions and specific distributions such as normal, lognormal, Cauchy, gamma, Pareto, Weibull, extreme value and symmetric power along with their applications. Organized in a user-friendly format with each distribution having its own chapter and reference list.
About the Author
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.
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- PublisherWiley-Interscience
- Publication date1994
- ISBN 10 0471584959
- ISBN 13 9780471584957
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages761
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Continuous Univariate Distributions, Vol. 1 (Wiley Series In Probability And Statistics) 2nd Edition
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Continuous univariate distributions. V. 1. (Wiley series in probability and mathematical statistics; Applied probability and statistics). Ex-Library.
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