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Univariate Discrete Distributions
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Univariate Discrete Distributions Tapa dura - 2005 - 3rd Edición

de Norman L. Johnson; Adrienne W. Kemp; Samuel Kotz


Información de la editorial

This Set Contains:
Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson
Continuous Univariate Distributions, Volume 1, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson
Continuous Univariate Distributions, Volume 2, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson
Discrete Multivariate Distributions by Samuel Kotz, N. Balakrishnan and Normal L. Johnson
Univariate Discrete Distributions, 3rd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson

Discover the latest advances in discrete distributions theory

The Third Edition of the critically acclaimed Univariate Discrete Distributions provides a self-contained, systematic treatment of the theory, derivation, and application of probability distributions for count data. Generalized zeta-function and q-series distributions have been added and are covered in detail. New families of distributions, including Lagrangian-type distributions, are integrated into this thoroughly revised and updated text. Additional applications of univariate discrete distributions are explored to demonstrate the flexibility of this powerful method.

A thorough survey of recent statistical literature draws attention to many new distributions and results for the classical distributions. Approximately 450 new references along with several new sections are introduced to reflect the current literature and knowledge of discrete distributions.

Beginning with mathematical, probability, and statistical fundamentals, the authors provide clear coverage of the key topics in the field, including:

  • Families of discrete distributions
  • Binomial distribution
  • Poisson distribution
  • Negative binomial distribution
  • Hypergeometric distributions
  • Logarithmic and Lagrangian distributions
  • Mixture distributions
  • Stopped-sum distributions
  • Matching, occupancy, runs, and q-series distributions
  • Parametric regression models and miscellanea

Emphasis continues to be placed on the increasing relevance of Bayesian inference to discrete distribution, especially with regard to the binomial and Poisson distributions. New derivations of discrete distributions via stochastic processes and random walks are introduced without unnecessarily complex discussions of stochastic processes. Throughout the Third Edition, extensive information has been added to reflect the new role of computer-based applications.

With its thorough coverage and balanced presentation of theory and application, this is an excellent and essential reference for statisticians and mathematicians.

Descripción de contraportada

Discover the latest advances in discrete distributions theory

The Third Edition of the critically acclaimed Univariate Discrete Distributions provides a self-contained, systematic treatment of the theory, derivation, and application of probability distributions for count data. Generalized zeta-function and q-series distributions have been added and are covered in detail. New families of distributions, including Lagrangian-type distributions, are integrated into this thoroughly revised and updated text. Additional applications of univariate discrete distributions are explored to demonstrate the flexibility of this powerful method.

A thorough survey of recent statistical literature draws attention to many new distributions and results for the classical distributions. Approximately 450 new references along with several new sections are introduced to reflect the current literature and knowledge of discrete distributions.

Beginning with mathematical, probability, and statistical fundamentals, the authors provide clear coverage of the key topics in the field, including:

  • Families of discrete distributions
  • Binomial distribution
  • Poisson distribution
  • Negative binomial distribution
  • Hypergeometric distributions
  • Logarithmic and Lagrangian distributions
  • Mixture distributions
  • Stopped-sum distributions
  • Matching, occupancy, runs, and q-series distributions
  • Parametric regression models and miscellanea

Emphasis continues to be placed on the increasing relevance of Bayesian inference to discrete distribution, especially with regard to the binomial and Poisson distributions. New derivations of discrete distributions via stochastic processes and random walks are introduced without unnecessarily complex discussions of stochastic processes. Throughout the Third Edition, extensive information has been added to reflect the new role of computer-based applications.

With its thorough coverage and balanced presentation of theory and application, this is an excellent and essential reference for statisticians and mathematicians.

Detalles

  • Título Univariate Discrete Distributions
  • Autor Norman L. Johnson; Adrienne W. Kemp; Samuel Kotz
  • Encuadernación Tapa dura
  • Número de edición 3rd
  • Edición 3
  • Páginas 688
  • Volúmenes 1
  • Idioma ENG
  • Editorial Wiley-Interscience
  • Fecha de publicación 2005-08
  • Ilustrado
  • ISBN 9780471272465 / 0471272469
  • Peso 2.31 libras (1.05 kg)
  • Dimensiones 9.5 x 6.38 x 1.39 pulgadas (24.13 x 16.21 x 3.53 cm)
  • Library of Congress subjects Distribution (Probability theory)
  • Número de catálogo de la Librería del Congreso de EEUU 2005019970
  • Dewey Decimal Code 519.24

Acerca del autor

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

ADRIENNE W. KEMP, PHD, is Honorary Senior Lecturer at the Mathematical Institute, University of St. Andrews in Scotland.

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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