{"product_id":"9780471272465","title":"Univariate Discrete Distributions","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eUnivariate Discrete Distributions\u003c\/h1\u003e\u003ch3\u003eNorman L. Johnson | Adrienne W. Kemp | Samuel Kotz\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eThis Set Contains: \u003cbr\u003e \u003ci\u003eContinuous Multivariate Distributions, Volume 1, Models and Applications,\u003c\/i\u003e 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson\u003cbr\u003e \u003ci\u003eContinuous Univariate Distributions, Volume 1, 2nd Edition\u003c\/i\u003e by Samuel Kotz, N. Balakrishnan and Normal L. Johnson\u003cbr\u003e \u003ci\u003eContinuous Univariate Distributions, Volume 2, 2nd Edition\u003c\/i\u003e by Samuel Kotz, N. Balakrishnan and Normal L. Johnson\u003cbr\u003e \u003ci\u003eDiscrete Multivariate Distributions\u003c\/i\u003e by Samuel Kotz, N. Balakrishnan and Normal L. Johnson\u003cbr\u003e \u003ci\u003eUnivariate Discrete Distributions, 3rd Edition\u003c\/i\u003e by Samuel Kotz, N. Balakrishnan and Normal L. Johnson  \u003cp\u003e\u003cb\u003eDiscover the latest advances in discrete distributions theory\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe \u003ci\u003eThird Edition\u003c\/i\u003e of the critically acclaimed \u003ci\u003eUnivariate Discrete Distributions\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eA 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.\u003c\/p\u003e \u003cp\u003eBeginning with mathematical, probability, and statistical fundamentals, the authors provide clear coverage of the key topics in the field, including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eFamilies of discrete distributions\u003c\/li\u003e \u003cli\u003eBinomial distribution\u003c\/li\u003e \u003cli\u003ePoisson distribution\u003c\/li\u003e \u003cli\u003eNegative binomial distribution\u003c\/li\u003e \u003cli\u003eHypergeometric distributions\u003c\/li\u003e \u003cli\u003eLogarithmic and Lagrangian distributions\u003c\/li\u003e \u003cli\u003eMixture distributions\u003c\/li\u003e \u003cli\u003eStopped-sum distributions\u003c\/li\u003e \u003cli\u003eMatching, occupancy, runs, and q-series distributions\u003c\/li\u003e \u003cli\u003eParametric regression models and miscellanea\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eEmphasis 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.\u003c\/p\u003e \u003cp\u003eWith its thorough coverage and balanced presentation of theory and application, this is an excellent and essential reference for statisticians and mathematicians.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cb\u003eNORMAN L. JOHNSON\u003c\/b\u003e, 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 \u003ci\u003eEncyclopedia of Statistical Sciences\u003c\/i\u003e, Second Edition (Wiley).  \u003cp\u003e\u003cb\u003eADRIENNE W. KEMP\u003c\/b\u003e, PHD, is Honorary Senior Lecturer at the Mathematical Institute, University of St. Andrews in Scotland.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSAMUEL KOTZ\u003c\/b\u003e, PHD, is Professor and Research Scholar, Department of Engineering Management and Systems Engineering, The George Washington University in Washington, DC.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e30 August 2005\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471272465\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e688\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e37.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44314411860108,"sku":"9780471272465","price":276.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471272465.jpg?v=1780197048","url":"https:\/\/lateknightbooks.com\/products\/9780471272465","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}