Titre :	Continuous multivariate distributions: vol. 1: models and applications
Type de document :	livre
Auteurs :	Kotz, S. ; Balakrishnan, N. ; Johnson, N.L.
Mention d'édition :	02 éd.
Editeur :	New York : Wiley
Année de publication :	2000
Collection :	Wiley series in probability and statistics
Importance :	722 p.
ISBN/ISSN/EAN :	978-0-471-18387-7
Note générale :	2 ex.
Langues :	Anglais (eng)
Mots-clés :	Data analysis  Multivariate analysis  Statistical methods
Résumé :	Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications. [Résumé éditeur]

Continuous multivariate distributions: vol. 1: models and applications [livre] / Kotz, S. ; Balakrishnan, N. ; Johnson, N.L.  . -  02 éd. . - New York : Wiley, 2000 . - 722 p.. - (Wiley series in probability and statistics) .
ISBN : 978-0-471-18387-7
2 ex.
Langues : Anglais (eng)

Mots-clés :

Data analysis  Multivariate analysis  Statistical methods

Résumé :

Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications. [Résumé éditeur]