Symmetric Multivariate and Related Distributions Symmetric Multivariate and Related Distributions

Symmetric Multivariate and Related Distributions

Kai-Tai Fang and Others
    • ¥34,800
    • ¥34,800

Publisher 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.

GENRE
Science & Nature
RELEASED
2018
January 18
LANGUAGE
EN
English
LENGTH
230
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
8.8
MB
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