Symmetric Multivariate and Related Distributions is popular PDF and ePub book, written by Kai Wang Fang in 2018-01-18, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Symmetric Multivariate and Related Distributions can be Read Online from any device for your convenience.
Symmetric Multivariate and Related Distributions Book PDF Summary
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.
Detail Book of Symmetric Multivariate and Related Distributions PDF
- Author : Kai Wang Fang
- Release : 18 January 2018
- Publisher : CRC Press
- ISBN : 9781351093941
- Genre : Mathematics
- Total Page : 165 pages
- Language : English
- PDF File Size : 7,9 Mb
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