Neuf :
256,06€256,06€
Habituellement expédié sous 3 à 4 jours
Expédié par
livres PBS
Vendu par
Retours
Retournable jusqu'au 31 janvier 2024
Paiement
Transaction sécurisée
Achetez d'occasion 110,07 €
Autres vendeurs sur Amazon
+ 52,95 € Livraison
100 % positif(s) au cours des 12 derniers mois
Téléchargez l'application Kindle gratuite et commencez à lire des livres Kindle instantanément sur votre smartphone, tablette ou ordinateur - aucun appareil Kindle n'est requis.
Lisez instantanément sur votre navigateur avec Kindle pour le Web.
Utilisation de l'appareil photo de votre téléphone portable - scannez le code ci-dessous et téléchargez l'application Kindle.
Image indisponible
couleur :
-
-
-
- Pour voir cette vidéo, téléchargez Flash Player
Suivre l'auteur
OK
Discrete Multivariate Distributions Relié – 17 février 1997
| Prix Amazon | Neuf à partir de | Occasion à partir de |
Options d'achat et paniers Plus
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.
- Nombre de pages de l'édition imprimée328 pages
- LangueAnglais
- ÉditeurWiley–Blackwell
- Date de publication17 février 1997
- Dimensions16.26 x 2.54 x 23.62 cm
- ISBN-100471128449
- ISBN-13978-0471128441
Description du produit
Quatrième de couverture
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, 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.
Biographie de l'auteur
SAMUEL KOTZ, PhD, is Professor of Statistics in the Department of Management Science and Statistics at the University of Maryland at College Park. Dr. Kotz received his PhD in mathematical statistics from Cornell University and has held distinguished visiting positions at Bucknell University, Bowling Green State University, Tel Aviv University, University of Guelph, Harbin Institute of Technology (China), and Lule? University (Sweden). He is the coauthor of Urn Models and Applications, Symmetric Multivariate and Related Distributions, Educated Guessing, and Process Capability Indices. He is Coordinating Editor of Journal of Statistical Planning and Inference.
N. BALAKRISHNAN, PhD, is Professor in the Department of Mathematics and Statistics at McMaster University, Hamilton, Ontario, Canada. In addition to publishing many research papers, he has authored or coauthored numerous books, including A First Course in Order Statistics and Order Statistics and Inference: Estimation Methods. Dr. Balakrishnan serves on the editorial board of many journals, including Communications in Statistics, Computational Statistics & Data Analysis, IEEE Transactions on Reliability, Naval Research Logistics Quarterly, IIE Transactions, American Journal of Mathematical and Management Sciences, and Journal of Applied Statistical Science.
Détails sur le produit
- Éditeur : Wiley–Blackwell (17 février 1997)
- Langue : Anglais
- Relié : 328 pages
- ISBN-10 : 0471128449
- ISBN-13 : 978-0471128441
- Poids de l'article : 612 g
- Dimensions : 16.26 x 2.54 x 23.62 cm
- Commentaires client :
À propos de l'auteur

Découvrir d'autres livres de l'auteur, voir des auteurs similaires, lire des blogs d'auteurs et plus encore
Commentaires client
Les avis clients, y compris le nombre d’étoiles du produit, aident les clients à en savoir plus sur le produit et à décider s'il leur convient.
Pour calculer le nombre global d’étoiles et la ventilation en pourcentage par étoile, nous n'utilisons pas une simple moyenne. Au lieu de cela, notre système prend en compte des éléments tels que la date récente d'un commentaire et si l'auteur de l'avis a acheté l'article sur Amazon. Les avis sont également analysés pour vérifier leur fiabilité.
En savoir plus sur le fonctionnement des avis clients sur Amazon