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Wiley Discrete q-Distributions

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Description

Review "The book is interesting, and ought to be useful for all researchers in the developing area of discrete distribution theory. It is also an ideal and comprehensive textbook for graduate level courses in distribution theory and enumerative combinatorics" Malvina George Vamvakari, Mathematical Reviews, Sept 2017 Product Description A self-contained study of the various applications and developments of discrete distribution theoryWritten by a well-known researcher in the field, Discrete q-Distributions features an organized presentation of discrete q-distributions based on the stochastic model of a sequence of independent Bernoulli trials. In an effort to keep the book self-contained, the author covers all of the necessary basic q-sequences and q-functions.The book begins with an introduction of the notions of a q-power, a q-factorial, and a q-binomial coefficient and proceeds to discuss the basic q-combinatorics and q-hypergeometric series. Next, the book addresses discrete q-distributions with success probability at a trial varying geometrically, with rate q, either with the number of previous trials or with the number of previous successes. Further, the book examines two interesting stochastic models with success probability at any trial varying geometrically both with the number of trials and the number of successes and presents local and global limit theorems. Discrete q-Distributions also features:Discussions of the definitions and theorems that highlight key concepts and resultsSeveral worked examples that illustrate the applications of the presented theoryNumerous exercises at varying levels of difficulty that consolidate the concepts and results as well as complement, extend, or generalize the resultsDetailed hints and answers to all the exercises in an appendix to help less-experienced readers gain a better understanding of the contentAn up-to-date bibliography that includes the latest trends and advances in the field and provides a collective source for further researchAn Instructor’s Solutions Manual available on a companion websiteA unique reference for researchers and practitioners in statistics, mathematics, physics, engineering, and other applied sciences, Discrete q-Distributions is also an appropriate textbook for graduate-level courses in discrete statistical distributions, distribution theory, and combinatorics. From the Inside Flap A self-contained study of the various applications and developments of discrete distribution theoryWritten by a well-known researcher in the field, Discrete q-Distributions features an organized presentation of discrete q-distributions defined on the stochastic model of a sequence of independent Bernoulli trials.  In an effort to keep the book self-contained, the author covers all of the necessary basic q-sequences and q-functions. The book begins with an introduction of the notions of a q-power, a q-factorial, and a q-binomial coefficient and proceeds to discuss the basic q-Combinatorics and q-hypergeometric series. Next, the book addresses discrete q-distributions with success probability at a trial varying geometrically, with rate q, either with the number of previous trials or with the number of previous successes. Further, the book examines two interesting stochastic models with success probability at any trial varying geometrically both with the number of trials and the number of successes and presents local and global limit theorems. Discrete q-Distributions also features: Discussions of the definitions and theorems that highlight key concepts and resultsSeveral worked out examples that illustrate the applications of the presented theoryNumerous exercises at varying levels of difficulty that consolidate the concepts and results as well as complement, extend, or generalize the results Detailed hints and answers to all the exercises in an appendix to help less experienced readers gain a better understanding of the contentAn up-to-date bibliograph

Product Specifications

Brand
Wiley
Format
Hardcover
Domain
Amazon UK
Release Date
26 February 2016
Listed Since
13 August 2015

Barcode

No barcode data available

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