Univariate Discrete Distributions, 3e Set

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Publisher : Wiley
ISBN 13 : 9780470383377
Total Pages : 0 pages
Book Rating : 4.3/5 (833 download)

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Book Synopsis Univariate Discrete Distributions, 3e Set by : Norman L. Johnson

Download or read book Univariate Discrete Distributions, 3e Set written by Norman L. Johnson and published by Wiley. This book was released on 2008-03-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Univariate Discrete Distributions

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0471715808
Total Pages : 676 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Univariate Discrete Distributions by : Norman L. Johnson

Download or read book Univariate Discrete Distributions written by Norman L. Johnson and published by John Wiley & Sons. This book was released on 2005-10-03 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Univariate Distributions

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Author :
Publisher : Wiley-Interscience
ISBN 13 : 9780471127918
Total Pages : 2128 pages
Book Rating : 4.1/5 (279 download)

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Book Synopsis Continuous Univariate Distributions by : Norman L. Johnson

Download or read book Continuous Univariate Distributions written by Norman L. Johnson and published by Wiley-Interscience. This book was released on 1995-11-01 with total page 2128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Continuous Univariate Distributions, Volume 2

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0471584940
Total Pages : 747 pages
Book Rating : 4.4/5 (715 download)

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Book Synopsis Continuous Univariate Distributions, Volume 2 by : Norman L. Johnson

Download or read book Continuous Univariate Distributions, Volume 2 written by Norman L. Johnson and published by John Wiley & Sons. This book was released on 1995-05-08 with total page 747 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive reference for statistical distributions Continuous Univariate Distributions, Volume 2 provides in-depth reference for anyone who applies statistical distributions in fields including engineering, business, economics, and the sciences. Covering a range of distributions, both common and uncommon, this book includes guidance toward extreme value, logistics, Laplace, beta, rectangular, noncentral distributions and more. Each distribution is presented individually for ease of reference, with clear explanations of methods of inference, tolerance limits, applications, characterizations, and other important aspects, including reference to other related distributions.

Continuous Univariate Distributions

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Publisher :
ISBN 13 : 9780471446262
Total Pages : 756 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Continuous Univariate Distributions by : Norman L. Johnson

Download or read book Continuous Univariate Distributions written by Norman L. Johnson and published by . This book was released on 2004 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probability Distributions Used in Reliability Engineering

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Publisher : RIAC
ISBN 13 : 1933904062
Total Pages : 220 pages
Book Rating : 4.9/5 (339 download)

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Book Synopsis Probability Distributions Used in Reliability Engineering by : Andrew N O'Connor

Download or read book Probability Distributions Used in Reliability Engineering written by Andrew N O'Connor and published by RIAC. This book was released on 2011 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.

High-Dimensional Probability

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Publisher : Cambridge University Press
ISBN 13 : 1108415199
Total Pages : 299 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis High-Dimensional Probability by : Roman Vershynin

Download or read book High-Dimensional Probability written by Roman Vershynin and published by Cambridge University Press. This book was released on 2018-09-27 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Continuous Multivariate Distributions

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Publisher : Wiley-Blackwell
ISBN 13 : 9780471752912
Total Pages : 704 pages
Book Rating : 4.7/5 (529 download)

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Book Synopsis Continuous Multivariate Distributions by : N. Balakrishnan

Download or read book Continuous Multivariate Distributions written by N. Balakrishnan and published by Wiley-Blackwell. This book was released on 2012-08-03 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative treatment of continuous multivariate distributions (CMD) focuses on the many ways in which various statistical distributions have been constructed, investigated, and applied over the past thirty-plus years. With more than 300 updated references and additional software algorithms, this comprehensive Third Edition of what is widely recognized as the definitive work on statistical distributions, includes a unique collection that encompasses continuous multivariate distributions, discrete multivariate distributions, continuous univariate distributions, and univariate discrete distributions.

Thesaurus of Univariate Discrete Probability Distributions

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Publisher :
ISBN 13 :
Total Pages : 878 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Thesaurus of Univariate Discrete Probability Distributions by : Gejza Wimmer

Download or read book Thesaurus of Univariate Discrete Probability Distributions written by Gejza Wimmer and published by . This book was released on 1999 with total page 878 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Continuous Univariate Distributions

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Publisher : Wiley-Interscience
ISBN 13 : 9780471752875
Total Pages : 768 pages
Book Rating : 4.7/5 (528 download)

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Book Synopsis Continuous Univariate Distributions by : N. Balakrishnan

Download or read book Continuous Univariate Distributions written by N. Balakrishnan and published by Wiley-Interscience. This book was released on 2013-08-09 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first volume in what is widely recognized as the definitive work on statistical distributions, this book is a comprehensive revision of Johnson and Kotz’s acclaimed 1994 volume. It represents the next installment in a unique collection that encompasses continuous univariate distributions, discrete multivariate distributions, continuous multivariate distributions, and univariate discrete distributions. Presenting a comprehensive, authoritative, up-to-date treatment of continuous univariate distributions (CUD), this work focuses on the many ways in which various statistical distributions have been constructed, investigated, and applied over the past thirty-plus years.

Bayesian Data Analysis, Third Edition

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Publisher : CRC Press
ISBN 13 : 1439840954
Total Pages : 677 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Bayesian Data Analysis, Third Edition by : Andrew Gelman

Download or read book Bayesian Data Analysis, Third Edition written by Andrew Gelman and published by CRC Press. This book was released on 2013-11-01 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Discrete Distributions

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Publisher : John Wiley & Sons
ISBN 13 : 0470868899
Total Pages : 306 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Discrete Distributions by : Daniel Zelterman

Download or read book Discrete Distributions written by Daniel Zelterman and published by John Wiley & Sons. This book was released on 2005-09-27 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: There have been many advances in the theory and applications of discrete distributions in recent years. They can be applied to a wide range of problems, particularly in the health sciences, although a good understanding of their properties is very important. Discrete Distributions: Applications in the Health Sciences describes a number of new discrete distributions that arise in the statistical examination of real examples. For each example, an understanding of the issues surrounding the data provides the motivation for the subsequent development of the statistical models. Provides an overview of discrete distributions and their applications in the health sciences. Focuses on real examples, giving readers an insight into the utility of the models. Describes the properties of each distribution, and the methods that led to their development. Presents a range of examples from the health sciences, including cancer, epidemiology, and demography. Features discussion of software implementation – in SAS, Fortran and R – enabling readers to apply the methods to their own problems. Written in an accessible style, suitable for applied statisticians and numerate health scientists. Software and data sets are made available on the Web. Discrete Distributions: Applications in the Health Sciences provides a practical introduction to these powerful statistical tools and their applications, suitable for researchers and graduate students from statistics and biostatistics. The focus on applications, and the accessible style of the book, make it an excellent practical reference source for practitioners from the health sciences.

Discrete Multivariate Distributions

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Publisher : Wiley-Interscience
ISBN 13 : 9780471128441
Total Pages : 328 pages
Book Rating : 4.1/5 (284 download)

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Book Synopsis Discrete Multivariate Distributions by : Norman L. Johnson

Download or read book Discrete Multivariate Distributions written by Norman L. Johnson and published by Wiley-Interscience. This book was released on 1997-02-07 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Timely, comprehensive, practical--an important working resource for all who use this critical statistical method Discrete Multivariate Distributions is the only comprehensive, single-source reference for this increasingly important statistical subdiscipline. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, computational procedures, and applications of discrete multivariate distributions in a wide range of disciplines. Distributions covered include multinomial, binomial, negative binomial, Poisson, power series, hypergeometric, Polya-Eggenberger, Ewens, orders, and some families of distributions. Each distribution is presented in its own chapter, along with necessary details and descriptions of real-world applications gleaned from the current literature on discrete multivariate distributions. Discrete Multivariate Distributions is the fourth volume of the ongoing revision of Johnson and Kotz's acclaimed Distributions in Statistics--universally acknowledged to be the definitive work on statistical distributions. Originally planned as a revision of Chapter 11 of that classic, this project soon blossomed into a substantial volume as a result of the unprecedented growth that has occurred in the literature on discrete multivariate distributions and their applications over the past quarter century. The only comprehensive, single-volume work on the subject, this valuable reference affords statisticians direct access to all of the latest developments concerning discrete multivariate distributions. Concentrating primarily on areas of interest to theoretical as well as applied statisticians, the authors provide complete coverage of several important discrete multivariate distributions. These include multinomial, binomial, negative binomial, Poisson, power series, hypergeometric, Polya-Eggenberger, Ewens, orders, and some families of distributions. Discrete Multivariate Distributions begins with a general overview of the multivariate method in which the authors lay the basic theoretical groundwork for the discussions that follow. For clarity and consistency, subsequent chapters follow a similar format, beginning with a concise historical account followed by a discussion of properties and characteristics. Coverage then advances to in-depth explorations of inferential issues and applications, liberally supplemented with helpful details and a collection of real-world applications obtained from the authors' extensive searches of current literature worldwide. Discrete Multivariate Distributions is an essential working resource for researchers, professionals, practitioners, and graduate students in statistics, mathematics, computer science, engineering, medicine, and the biological sciences.

Continuous Multivariate Distributions, Volume 1

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Publisher : John Wiley & Sons
ISBN 13 : 0471183873
Total Pages : 752 pages
Book Rating : 4.4/5 (711 download)

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Book Synopsis Continuous Multivariate Distributions, Volume 1 by : Samuel Kotz

Download or read book Continuous Multivariate Distributions, Volume 1 written by Samuel Kotz and published by John Wiley & Sons. This book was released on 2019-01-17 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seit dem Erscheinen der ersten Auflage dieses Werkes (1972) hat sich das Gebiet der kontinuierlichen multivariaten Verteilungen rasch weiterentwickelt. Moderne Anwendungsfelder sind die Erforschung von Hochwasser, Erdbeben, Regenfällen und Stürmen. Entsprechend wurde das Buch überarbeitet und erweitert: Nunmehr zwei Bände beschreiben eine Vielzahl multivariater Verteilungsmodelle anhand zahlreicher Beispiele. (05/00)

Discrete Data Analysis with R

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Publisher : CRC Press
ISBN 13 : 1498725864
Total Pages : 700 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Discrete Data Analysis with R by : Michael Friendly

Download or read book Discrete Data Analysis with R written by Michael Friendly and published by CRC Press. This book was released on 2015-12-16 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical meth

Discrete Distributions

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Publisher :
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Discrete Distributions by : Norman L. Johnson

Download or read book Discrete Distributions written by Norman L. Johnson and published by . This book was released on 1969 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to the Theory of Statistics

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Publisher : McGraw-Hill Publishing Company
ISBN 13 : 9780070854659
Total Pages : 564 pages
Book Rating : 4.8/5 (546 download)

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Book Synopsis Introduction to the Theory of Statistics by : Alexander MacFarlane Mood

Download or read book Introduction to the Theory of Statistics written by Alexander MacFarlane Mood and published by McGraw-Hill Publishing Company. This book was released on 1974 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text offers a sound and self-contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus, and no prior knowledge of statistics or probability is assumed. Practical examples and problems are included.