Discrete multivariate distributions (46 résultats)
Discrete Multivariate Distributions (Wiley Series in Probability and Statistics)
Johnson, Norman L.; Kotz, Samuel; Balakrishnan, Narayanaswamy
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Etat : good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped w…ith delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.
Discrete Multivariate Distributions (Wiley Series in Probability and Statistics)
Johnson, Norman L.; Kotz, Samuel; Balakrishnan, Narayanaswamy
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Hardcover. Etat : Very Good. 1st Edition. Black binding with gold lettering on front cover. Front board is warped a little. Photos of book on request.
Langue : anglais
Edité par Springer International Publishing AG, Cham, 2023
Série : Livre 63 sur 72 - Synthesis Lectures on Mathematics & Statistics
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Hardcover. Etat : new. Hardcover. This book is devoted to the study of multivariate discrete q-distributions, which is greatly facilitated by existing multivariate q-sequences and q-functions. Classical multivariate discrete distributions are defined on a sequence of independent and identically distributed Bernoulli trials, with… either being a success of a certain rank (level) or a failure. The author relaxes the assumption that the probability of success of a trial is constant by assuming that it varies geometrically with the number of trials and/or the number of successes. The latter is advantageous in the sense that it permits incorporating the experience gained from the previous trials and/or successes, which leads to multivariate discrete q-distributions. Furthermore, q-multinomial and negative q-multinomial formulae are obtained. Next, the book addresses q-multinomial and negative q-multinomial distributions of the first and second kind. The author also examines multiple q-Polya urn model, multivariate q-Polya and inverse q-Polya distributions. Presents definitions and theorems that highlight key concepts and worked examples to illustrate the various applicationsContains numerous exercises at varying levels of difficulty that consolidate the presented concepts and resultsIncludes hints and answers to all exercises via the appendix and is supplemented with an Instructor's Solution Manual This book is devoted to the study of multivariate discrete q-distributions, which is greatly facilitated by existing multivariate q-sequences and q-functions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Discrete Multivariate Distributions (Wiley Series in Probability and Statistics)
Johnson, Norman L.; Kotz, Samuel; Balakrishnan, Narayanaswamy
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Langue : anglais
Edité par Springer, 2023
Série : Livre 63 sur 72 - Synthesis Lectures on Mathematics & Statistics
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Etat : New. pp. 140 1st ed. 2024 edition NO-PA16APR2015-KAP.
Discrete Multivariate Distributions. Wiley Series in Probability and Statistics.
Johnson, Norman L., Samuel Kotz and Narayanaswamy Balakrishnan:
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gebundene Ausgabe. Etat : Gut. 299 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 680.
Langue : anglais
Edité par Springer Nature, 2023
Série : Livre 63 sur 72 - Synthesis Lectures on Mathematics & Statistics
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Langue : anglais
Edité par Springer, 2023
Série : Livre 63 sur 72 - Synthesis Lectures on Mathematics & Statistics
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is devoted to the study of multivariate discrete q-distributions, which is greatly facilitated by existing multivariate q-sequences and q-functions. Classical multivariate discrete distributions are defined on a sequence of independent and identical…ly distributed Bernoulli trials, with either being a success of a certain rank (level) or a failure. The author relaxes the assumption that the probability of success of a trial is constant by assuming that it varies geometrically with the number of trials and/or the number of successes. The latter is advantageous in the sense that it permits incorporating the experience gained from the previous trials and/or successes, which leads to multivariate discrete q-distributions. Furthermore, q-multinomial and negative q-multinomial formulae are obtained. Next, the book addresses q-multinomial and negative q-multinomial distributions of the first and second kind. The author also examines multiple q-Polya urn model, multivariate q-Polya and inverse q-Polya distributions.Presents definitions and theorems that highlight key concepts and worked examples to illustrate the various applicationsContains numerous exercises at varying levels of difficulty that consolidate the presented concepts and resultsIncludes hints and answers to all exercises via the appendix and is supplemented with an Instructor's Solution Manual.
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Taschenbuch. Etat : Neu. Multivariate Discrete q-Distributions | Charalambos A. Charalambides | Taschenbuch | Synthesis Lectures on Mathematics & Statistics | xi | Englisch | 2024 | Springer | EAN 9783031437151 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at…]springer[dot]com | Anbieter: preigu.
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 336 | Sprache: Englisch | Produktart: Bücher | 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 statist…ical 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, Pólya-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, Pólya-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.
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Discrete Multivariate Distributions (Wiley Series in Probability and Statistics)
Johnson, Norman L.; Kotz, Samuel; Balakrishnan, Narayanaswamy
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Johnson, Norman L.; Kotz, Samuel; Balakrishnan, Narayanaswamy
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Hardback. Etat : New. Timely, comprehensive, practical--an important working resource forall who use this critical statistical method Discrete Multivariate Distributions is the only comprehensive,single-source reference for this increasingly important statisticalsubdiscipline. It covers all significant advances that haveoccurred… in the field over the past quarter century in the theory,methodology, computational procedures, and applications of discretemultivariate distributions in a wide range of disciplines.Distributions covered include multinomial, binomial, negativebinomial, Poisson, power series, hypergeometric, Polya-Eggenberger,Ewens, orders, and some families of distributions. Eachdistribution is presented in its own chapter, along with necessarydetails and descriptions of real-world applications gleaned fromthe current literature on discrete multivariatedistributions. Discrete Multivariate Distributions is the fourth volume of theongoing revision of Johnson and Kotz's acclaimed Distributions inStatistics--universally acknowledged to be the definitive work onstatistical distributions. Originally planned as a revision ofChapter 11 of that classic, this project soon blossomed into asubstantial volume as a result of the unprecedented growth that hasoccurred in the literature on discrete multivariate distributionsand their applications over the past quarter century. The only comprehensive, single-volume work on the subject, thisvaluable reference affords statisticians direct access to all ofthe latest developments concerning discrete multivariatedistributions. Concentrating primarily on areas of interest totheoretical as well as applied statisticians, the authors providecomplete coverage of several important discrete multivariatedistributions. These include multinomial, binomial, negativebinomial, Poisson, power series, hypergeometric, Polya-Eggenberger,Ewens, orders, and some families of distributions. Discrete Multivariate Distributions begins with a general overviewof the multivariate method in which the authors lay the basictheoretical groundwork for the discussions that follow. For clarityand consistency, subsequent chapters follow a similar format,beginning with a concise historical account followed by adiscussion of properties and characteristics. Coverage thenadvances to in-depth explorations of inferential issues andapplications, liberally supplemented with helpful details and acollection of real-world applications obtained from the authors'extensive searches of current literature worldwide. Discrete Multivariate Distributions is an essential workingresource for researchers, professionals, practitioners, andgraduate students in statistics, mathematics, computer science,engineering, medicine, and the biological sciences.
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Etat : New. This book is an expanded and updated version of Chapter 11 of Distributions in Statistics: Discrete Distributions, written by Norman L. Johnson and Samuel Kotz in 1969. It provides detailed explanations of discrete multivariate distributions, including thei.
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Etat : New. This book is an expanded and updated version of Chapter 11 of Distributions in Statistics: Discrete Distributions, written by Norman L. Johnson and Samuel Kotz in 1969. It provides detailed explanations of discrete multivariate distributions, including their properties and usefulness. Series: Wiley Series in Probabil…ity and Statistics. Num Pages: 328 pages, black & white illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 242 x 169 x 24. Weight in Grams: 634. . 1997. 1st Edition. Hardcover. . . . .
