› › Characterization Of Discrete Probability Distributions By Partial Independence

Bivariate Discrete Distributions

Author : Kocherlakota

Publisher : Routledge

Page : 392 pages

File Size : 13,38 MB

Release : 2017-11-22

Category : Mathematics

ISBN : 1351463454

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Book Description

This useful reference/text provides a comprehensive study of the various bivariate discretedistributions that have appeared in the literature- written in an accessible manner thatassumes no more than a first course in mathematical statistics.Supplying individualized treatment of topics while simultaneously exploiting the interrelationshipsof the material, Bivariate Discrete Distributions details the latest techniques ofcomputer simulation for the distributions considered ... contains a general introduction tothe structural properties of discrete distributions, including generating functions, momentrelationships, and the basic ideas of generalizing . . . develops distributions using samplingschemes . .. explores the role of compounding ... covers Waring and "short" distributionsfor use in accident theory ... discusses problems of statistical inference, emphasizing techniquespertinent to the discrete case ... and much more!Containing over 1000 helpful equations, Bivariate Discrete Distributions is







Univariate Discrete Distributions

Author : Norman L. Johnson

Publisher : Wiley-Interscience

Page : 598 pages

File Size : 40,83 MB

Release : 1992

Category : Mathematics

ISBN :

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Book Description

Addresses the latest advances in discrete distributions theory including the development of new distributions, new families of distributions and a better understanding of their interrelationships. Greater emphasis on the increasing relevance of Bayesian inference to discrete distribution, especially with regard to the binomial and Poisson distributions, is covered. All chapters have been revised to make them user-friendly and more up-to-date. Extensive information on new mixtures, including generalized hypergeometric families, and the increased use of the computer have been added. The bibliography is updated and expanded along with relevant chapter and section numbers.



Probability Distributions Used in Reliability Engineering

Author : Andrew N O'Connor

Publisher : RIAC

Page : 220 pages

File Size : 29,80 MB

Release : 2011

Category : Mathematics

ISBN : 1933904062

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Book Description

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.





Counterexamples in Probability

Author : Jordan M. Stoyanov

Publisher : Courier Corporation

Page : 404 pages

File Size : 19,55 MB

Release : 2013-09-18

Category : Mathematics

ISBN : 0486315932

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Book Description

Most mathematical examples illustrate the truth of a statement; counterexamples demonstrate a statement's falsity. This third edition features the author's revisions and corrections plus a substantial new appendix. 2012 edition.





An Introduction to Lifted Probabilistic Inference

Author : Guy Van den Broeck

Publisher : MIT Press

Page : 455 pages

File Size : 35,70 MB

Release : 2021-08-17

Category : Computers

ISBN : 0262366185

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Book Description

Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models. Statistical relational AI (StaRAI) studies the integration of reasoning under uncertainty with reasoning about individuals and relations. The representations used are often called relational probabilistic models. Lifted inference is about how to exploit the structure inherent in relational probabilistic models, either in the way they are expressed or by extracting structure from observations. This book covers recent significant advances in the area of lifted inference, providing a unifying introduction to this very active field. After providing necessary background on probabilistic graphical models, relational probabilistic models, and learning inside these models, the book turns to lifted inference, first covering exact inference and then approximate inference. In addition, the book considers the theory of liftability and acting in relational domains, which allows the connection of learning and reasoning in relational domains.



Introductory Business Statistics 2e

Author : Alexander Holmes

Publisher :

Page : 1801 pages

File Size : 46,49 MB

Release : 2023-12-13

Category : Business & Economics

ISBN :

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Book Description

Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.