Univariate Discrete Distributions
Wiley Series in Probability and Statistics
3. Edition September 2005
688 Pages, Hardcover
Handbook/Reference Book
Short Description
This new Third Edition addresses the latest advances in discrete distributions theory including the development of new distributions such as q-series and generalized zeta-function distributions and new families of distributions including Langrangian-type distributions offering and a better understanding of their theoretical and practical interrelationships. New derivations of discrete distributions via stochastic processes and random walks are introduced without turning the book into a treatise on the subject. Emphasis on the increasing relevance of Bayesian inference to discrete distribution, especially with regard to the binomial and Poisson distributions is maintained. All chapters have been updated to make them user-friendly and coherent and extensive information on the increased use of the computer has been added without changing or compromising the mathematical integrity.
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.
1. Preliminary Information.
2. Families of Discrete Distributions.
3. Binomial Distributions.
4. Poisson Distributions.
5. Neggative Binomial Distributions.
6. Hypergeometric Distributions.
7. Logarithmic and Lagrangian Distributions.
8. Mixture Distributions.
9. Stopped-Sum Distributions.
10. Matching, Occupancy, Runs, and q-Series Distributions.
11. Parametric Regression Models and Miscellanea.
Bibliography.
Abbreviations.
Index.
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.
