Bibliographic Information

Continuous univariate distributions

Norman L. Johnson, Samuel Kotz, N. Balakrishnan

(Wiley series in probability and mathematical statistics, . Applied probability and statistics)

Wiley, c1994-c1995

2nd ed

  • v. 1
  • v. 2

Available at  / 115 libraries

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Note

"A Wiley-Interscience publication"

Includes bibliographical references and indexes

Description and Table of Contents

Volume

v. 2 ISBN 9780471584940

Description

Comprehensive reference for statistical distributions Continuous Univariate Distributions, Volume 2 provides in-depth reference for anyone who applies statistical distributions in fields including engineering, business, economics, and the sciences. Covering a range of distributions, both common and uncommon, this book includes guidance toward extreme value, logistics, Laplace, beta, rectangular, noncentral distributions and more. Each distribution is presented individually for ease of reference, with clear explanations of methods of inference, tolerance limits, applications, characterizations, and other important aspects, including reference to other related distributions.

Table of Contents

Extreme Value Distributions. Logistic Distribution. Laplace (Double Exponential) Distributions. Beta Distributions. Uniform (Rectangular) Distributions. F-Distributions. t-Distributions. Noncentral x^2 Distributions. Noncentral F-Distributions. Noncentral t-Distributions. Distributions of Correlation Coefficients. Lifetime Distributions and Miscellaneous Orderings. Abbreviations. Indexes.
Volume

v. 1 ISBN 9780471584957

Description

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.

Table of Contents

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.

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