Kotz / Balakrishnan / Johnson Continuous Multivariate Distributions, Volume 1

Models and Applications
1. Auflage 2004
ISBN: 978-0-471-65403-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 752 Seiten, E-Book

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.

Autoren/Hrsg.

Kotz, Samuel

Balakrishnan, N.

Balakrishnan, Narayanaswamy

Johnson, Norman L.

Inhaltsverzeichnis

Systems of Continuous Multivariate Distributions.
Multivariate Normal Distributions.
Bivariate and Trivariate Normal Distributions.
Multivariate Exponential Distributions.
Multivariate Gamma Distributions.
Dirichlet and Inverted Dirichlet Distributions.
Multivariate Liouville Distributions.
Multivariate Logistic Distributions.
Multivariate Pareto Distributions.
Bivariate and Multivariate Extreme Value Distributions.
Natural Exponential Families.
Indexes.

Über Autor(innen)

SAMUEL KOTZ, PhD, is Professor and Research Scholar at theDepartment of Engineering Management and Systems Engineering atGeorge Washington University. Formerly with the University ofMaryland at College Park, Dr. Kotz received his PhD from CornellUniversity and has held distinguished visiting positions atBucknell University, Bowling Green State University, Tel AvivUniversity, University of Guelph, Harbin Institute of Technology(China), and Luleå University (Sweden). He is the coauthor ofUrn Models and Applications, Symmetric Multivariate and RelatedDistributions, Educated Guessing, Process Capability Indices andRecent Advances in Information Theory. He is Editor-in-Chief andfounder of the Encyclopedia of Statistical Sciences and holds threehonorary doctorates.
N. BALAKRISHNAN, PhD, is Professor in the Department of Mathematicsand Statistics at McMaster University, Hamilton, Ontario, Canada.In addition to publishing many research papers, he has authored orcoauthored numerous books, including A First Course in OrderStatistics and Records, both of which are Wiley publications. Dr.Balakrishnan serves on the editorial board of many journals,including Journal of Statistical Planning and Inference,Computational Statistics & Data Analysis, Metrika, Methodologyand Computing in Applied Probability, IIE Transactions on Qualityand Reliability Engineering, and American Journal of Mathematicaland Management Sciences. He is also the Editor-in-Chief f for theseries Statistics for Industry and Technology and the seriesStatistical Distributions and Models with Applications.
NORMAN L. JOHNSON, PhD, DSc, is Professor Emeritus in theDepartment of Statistics at the University of North Carolina atChapel Hill. Dr. Johnson received his PhD and DSc degrees instatistics from the University of London, and has taught atUniversity College, London, the Case Institute of Technology, andthe University of New South Wales. Dr. Johnson is coauthor of theprevious four volumes of this book (with Kotz and Kemp; and Kotzand Balakrishnan) and was Editor-in-Chief (with Kotz) of theten-volume Encyclopedia of Statistical Sciences. He is currentlyAssociate Editor of Metron and a member of the editorial board ofSequential Analysis.