Symmetric Multivariate and Related Distributions
Title | Symmetric Multivariate and Related Distributions PDF eBook |
Author | Kai-Tang Fang |
Publisher | Springer |
Pages | 220 |
Release | 2013-08-22 |
Genre | Mathematics |
ISBN | 9781489929389 |
This book represents the joint effort of three authors, located thousands of miles apart from one another, and its preparation was greatly facilitated by modern communication technology. lt may serve as an additional example of international co-operation among statisticians specializing in statistical distribution theory. In essence we have attempted to amass and digest widely scattered information on multivariate symmetric distributions which has appeared in the Iiterature during the last two decades. Introductory remarks at the beginning of each chapter summarize its content and clarify the importance and applicability of the distributions discussed in these chapters; it seems unnecessary, therefore, to dwell in this Preface on the content of the volume. It should be noted that this work was initiated by the first author, who provided continuous impetus to the project, and a great many of tbe results presented in tbe book stem from bis own researcb or tbe research of bis associates and students during the last 15 years.
Symmetric Multivariate and Related Distributions
Title | Symmetric Multivariate and Related Distributions PDF eBook |
Author | Kai Wang Fang |
Publisher | CRC Press |
Pages | 230 |
Release | 2018-01-18 |
Genre | Mathematics |
ISBN | 1351085492 |
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.
Symmetric Multivariate and Related Distributions
Title | Symmetric Multivariate and Related Distributions PDF eBook |
Author | Kai Wang Fang |
Publisher | CRC Press |
Pages | 165 |
Release | 2018-01-18 |
Genre | Mathematics |
ISBN | 1351093940 |
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.
On A-symmetric Multivariate Distributions
Title | On A-symmetric Multivariate Distributions PDF eBook |
Author | Stamatis Cambanis |
Publisher | |
Pages | 60 |
Release | 1981 |
Genre | Multivariate analysis |
ISBN |
Multivariate Analysis and Its Applications
Title | Multivariate Analysis and Its Applications PDF eBook |
Author | Theodore Wilbur Anderson |
Publisher | IMS |
Pages | 502 |
Release | 1994 |
Genre | Multivariate analysis |
ISBN | 9780940600355 |
Multivariate Statistical Analysis
Title | Multivariate Statistical Analysis PDF eBook |
Author | Narayan C. Giri |
Publisher | CRC Press |
Pages | 583 |
Release | 2003-11-14 |
Genre | Mathematics |
ISBN | 1482276372 |
Significantly revised and expanded, Multivariate Statistical Analysis, Second Edition addresses several added topics related to the properties and characterization of symmetric distributions, elliptically symmetric multivariate distributions, singular symmetric distributions, estimation of covariance matrices, tests of mean against one-sided altern
Contemporary Experimental Design, Multivariate Analysis and Data Mining
Title | Contemporary Experimental Design, Multivariate Analysis and Data Mining PDF eBook |
Author | Jianqing Fan |
Publisher | Springer Nature |
Pages | 384 |
Release | 2020-05-22 |
Genre | Mathematics |
ISBN | 3030461610 |
The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easily collect data characterised by massive dimensions and complexity. In celebration of Professor Kai-Tai Fang’s 80th birthday, we present this book, which furthers new and exciting developments in modern statistical theories, methods and applications. The book features four review papers on Professor Fang’s numerous contributions to the fields of experimental design, multivariate analysis, data mining and education. It also contains twenty research articles contributed by prominent and active figures in their fields. The articles cover a wide range of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models.