Statistical Distributions

From Book News, Inc.
Provides a concise summary of facts and formulas relating to 40 major probability distributions, together with associated diagrams that allow the shape and other general properties of each distribution to be readily appreciated. Introductory chapters cover fundamental concepts and describe rules governing relationships between variates. Extensive use is made of the inverse distribution function. This third edition includes more distributions and new material on applications, variate relationships, estimation, and computing. Evans is Director of Planning and Academic Affairs at Monash University, Australia. Lacks a subject index.Book News, Inc.®, Portland, OR


Review
[...] a reference work for Everyman. -The Statistician 50 (1) 2001.


Book Description
From the reviews:

"Concise and useful summaries of the salient facts and formulas relating to [various] distributions." -Journal of the American Statistical Association

"A worthwhile reference." -Journal of Quality Technology

Since the previous edition of this popular guide to the most commonly used statistical distributions was published in 1993, statistical methods have found many new applications in science, medicine, engineering, business/finance, and the social sciences. To keep pace with these developments and to highlight the growing influence of statistical software and data management techniques, this new edition is now thoroughly updated and revised. Through clear, concise, easy-to-follow presentations, the authors discuss the key facts and formulas for 40 major probability distributions, fine-tune all existing material, and continue to offer ready access to vital information gleaned from hard-to-find places across the literature. Highly useful both as an introduction to basic principles and as a quick reference guide, Statistical Distributions, Third Edition:
* Presents the 40 distributions in alphabetical order
* Provides all key formulas for each distribution
* Adds a new chapter on the Empirical Distribution Function
* Expands the Weibull Distribution to cover the 3 and 5 parameter versions
* Incorporates diagrams and tables illustrating the characteristics of each distribution
* Discusses the types of application for which distributions are used
* Features references to relevant software packages


Book Info
Through clear, concise, easy-to-follow presentations, the authors discuss the key facts and formulas for 40 major probability distributions, fine-tune all existing material, and continue to offer ready access to vital information gathered from various sources. Softcover. DLC: Distribution (Probability theory).


The publisher, John Wiley & Sons
Updated to include 39 of the major probability distributions. Presents key formulas, tables and diagrams for each distribution in a clear, concise format. Provides additional material on variate relationships, estimation and computing. Contains bibliography and Table of Computing References. Employs a consistent nomenclature system.


From the Back Cover
From the reviews: "Concise and useful summaries of the salient facts and formulas relating to [various] distributions." –Journal of the American Statistical Association "A worthwhile reference." –Journal of Quality Technology Since the previous edition of this popular guide to the most commonly used statistical distributions was published in 1993, statistical methods have found many new applications in science, medicine, engineering, business/finance, and the social sciences. To keep pace with these developments and to highlight the growing influence of statistical software and data management techniques, this new edition is now thoroughly updated and revised. Through clear, concise, easy-to-follow presentations, the authors discuss the key facts and formulas for 40 major probability distributions, fine-tune all existing material, and continue to offer ready access to vital information gleaned from hard-to-find places across the literature. Highly useful both as an introduction to basic principles and as a quick reference guide, Statistical Distributions, Third Edition: Presents the 40 distributions in alphabetical order Provides all key formulas for each distribution Adds a new chapter on the Empirical Distribution Function Expands the Weibull Distribution to cover the 3 and 5 parameter versions Incorporates diagrams and tables illustrating the characteristics of each distribution Discusses the types of application for which distributions are used Features references to relevant software packages


About the Author
MERRAN EVANS, PhD, is Director of Planning and Academic Affairs at Monash University, Victoria, Australia. NICHOLAS HASTINGS, PhD, is Director of the Centre for Asset Management at Queensland University of Technology, Brisbane, Australia. BRIAN PEACOCK, PhD, is Manager of Manufacturing Ergonomics Laboratory, General Motors Technical Center, Warren, Michigan


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Provides a concise summary of facts and formulas relating to 40 major probability distributions, together with associated diagrams that allow the shape and other general properties of each distribution to be readily appreciated. Introductory chapters cover fundamental concepts and describe rules governing relationships between variates. Extensive use is made of the inverse distribution function. This third edition includes more distributions and new material on applications, variate relationships, estimation, and computing. Evans is Director of Planning and Academic Affairs at Monash University, Australia. Lacks a subject index. Annotation c. Book News, Inc., Portland, OR (booknews.com)


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