
Symmetric Multivariate and Related Distributions
Taylor & Francis (Publisher)
1st Edition
Published on 29. November 2017
Book
Hardback
230 pages
978-1-315-89794-3 (ISBN)
Description
Since the publication of the by now classical Johnson and Kotz Continuous Multivariate Distributions (Wiley, 1972) there have been substantial developments in multivariate distribution theory especially in the area of non-normal symmetric multivariate distributions. The book by Fang, Kotz and Ng summarizes these developments in a manner which is accessible to a reader with only limited background (advanced real-analysis calculus, linear algebra and elementary matrix calculus). Many of the results in this field are due to Kai-Tai Fang and his associates and appeared in Chinese publications only.
A thorough literature search was conducted and the book represents the latest work - as of 1988 - in this rapidly developing field of multivariate distributions. The authors are experts in statistical distribution theory.
A thorough literature search was conducted and the book represents the latest work - as of 1988 - in this rapidly developing field of multivariate distributions. The authors are experts in statistical distribution theory.
More details
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
Weight
590 gr
ISBN-13
978-1-315-89794-3 (9781315897943)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Kai-Tai Fang | Samuel Kotz | Kai W. Ng
Symmetric Multivariate and Related Distributions
E-Book
01/2018
Chapman & Hall/CRC
€264.99
Available for download

Kai-Tai Fang | Samuel Kotz | Kai W. Ng
Symmetric Multivariate and Related Distributions
E-Book
01/2018
Chapman & Hall/CRC
€264.99
Available for download
Persons
Kai Wang Fang
Content
Preface, 1: Preliminaries, 2: Spherically and elliptically symmetric distributions, 3: Some subclasses of elliptical distributions, 4: Characterizations, 5: Multivariate ?1-norm symmetric distributions, 6: Multivariate Liouville distributions, 7: ?-Symmetric distributions, References, Index