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 distributionsBinomial
distributionPoisson distributionNegative binomial
distributionHypergeometric distributionsLogarithmic and Lagrangian
distributionsMixture distributionsStopped-sum
distributionsMatching, occupancy, runs, and q-series
distributionsParametric 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.
General
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