Continuous Univariate Distributions, Vol. 1 (Wiley Series in Probability and Statistics) 2nd Edition by Norman L. Johnson (PDF)

Description

The definitive reference for statistical distributionsContinuous 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.

User’s Reviews

Editorial Reviews: 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.

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Very good!

⭐I agree with two other reviewers R. Meyer and “A Customer”. This book has too many typos. I just read a few pages in Chapter 15, and find quite a number of typos. For example on page 261, below section 3 heading, mu=d/lambda should be v=d/mu. In Eq.(15.4d), inside exp[], the number 2 below the first lambda should be deleted, and IG(alpha^2/2, lambda) should be corrected as IG(1/sqrt{2alpha}, lambda). I’m disappointed that there are so many typos. It will be better if the authors could at least provide an errata online. But I don’t find such an errata.

⭐This is a massive and useful reference book, but here’s another typo warning:(12.96) is wrong in two places : the y should be a z (obviously), and more subtly, the formula m = 2 nu +1 should be nu = 2 m + 1.The authors don’t seem to be collecting typos anywhere else online; perhaps this will make it into the next edition.

⭐I agree completely with the reader from Ithaca. The last timeI used it for something important, there was a serious typo in aformula, and much time was wasted.

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