
Univariate Discrete Distributions, 3e Set
Wiley (Publisher)
3rd Edition
Will be published approx. on 29. April 2008
Book
Hardback
3256 pages
978-0-470-38337-7 (ISBN)
Article not available at the moment
Description
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.
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.
More details
Series
Edition
3rd edition
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 236 mm
Width: 163 mm
Thickness: 25 mm
Weight
612 gr
ISBN-13
978-0-470-38337-7 (9780470383377)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
SAMUEL KOTZ, PHD, is Professor and Research Scholar, Department of Engineering Management and Systems Engineering, The George Washington University in Washington, DC.
Author
University of North Carolina, Chapel Hill
University of St Andrews, Scotland
Temple University
Content
Preface xvii
1 Preliminary Information 1
2 Families of Discrete Distributions 74
3 Binomial Distribution 108
4 Poisson Distribution 156
5 Negative Binomial Distribution 208
6 Hypergeometric Distributions 251
7 Logarithmic and Lagrangian Distributions 302
8 Mixture Distributions 343
9 Stopped-Sum Distributions 381
10 Matching, Occupancy, Runs, and q-Series Distributions 430
11 Parametric Regression Models and Miscellanea 478
Bibliography 535
Abbreviations 631
Index 633
1 Preliminary Information 1
2 Families of Discrete Distributions 74
3 Binomial Distribution 108
4 Poisson Distribution 156
5 Negative Binomial Distribution 208
6 Hypergeometric Distributions 251
7 Logarithmic and Lagrangian Distributions 302
8 Mixture Distributions 343
9 Stopped-Sum Distributions 381
10 Matching, Occupancy, Runs, and q-Series Distributions 430
11 Parametric Regression Models and Miscellanea 478
Bibliography 535
Abbreviations 631
Index 633