eBook - ePub

Symmetric Multivariate and Related Distributions

Name: Symmetric Multivariate and Related Distributions
ISBN: 9781351093941

230 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Symmetric Multivariate and Related Distributions

About this book

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.

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Yes, you can access Symmetric Multivariate and Related Distributions by Kai Wang Fang,Kai-Tai Fang,Samuel Kotz,Kai W. Ng in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.