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Kai Tai Fang

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Fields
  
Statistics

Other academic advisors
  
Minyi Yue

Field
  
Statistics

Doctoral advisor
  
Pao-Lu Hsu (许宝騄).

Alma mater
  
Peking University

Academic advisor
  
Pao-Lu Hsu

Kai-Tai Fang

Institutions
  
Hong Kong Baptist University, Chinese Academy of Sciences

Known for
  
Elliptical distributions Generalized multivariate analysis Uniform experimental designs

Influences
  
Theodore W. Anderson, Yuan Wang

Books
  
Design and Modeling for Computer Experiments

Influenced by
  
Theodore Wilbur Anderson, Wang Yuan

Similar
  
Pao‑Lu Hsu, Harald Niederreiter, Wang Yuan, Jianqing Fan

Kai-Tai Fang (born 1940) is a Chinese mathematician and statistician who has helped to develop generalized multivariate analysis, which extends classical multivariate analysis beyond the multivariate normal distribution to more general elliptical distributions. Alternative English spellings of "Kai-Tai Fang" include Kaitai Fang and K'ai T'ai Fang. He has also contributed to the design of experiments.

Contents

Selected university offices and honors

Fang is Director of Institute of Statistics and Computational Intelligence and Emeritus Professor at Hong Kong Baptist University, after having been Full Professor of the Institute of Applied Mathematics of the Chinese Academy of Sciences (formerly named Academia Sinica). He is an Elected Fellow (or Elected Member) of the Institute of Mathematical Statistics, of the International Statistical Institute (ISI), of the American Statistical Association (ASA), and of the Hong Kong Statistical Society (HKSS). The Hong Kong Baptist University honored Professor Fang with the President's Award for Outstanding Performance in Scholarly Work in 2001. Fang and Zhang's book Generalized multivariate analysis was honored as a "most excellent book in China" by the Government Information and Publication Administration.

Biography

Fang's early life is described in by Agnes Loie in a volume published on his 65th birthday. Kai-Tai Fang was born in 1940 in Taizhou in the province of Jiangsu in China. He graduated from Jiangsu's Yangzhou High School.

University studies and the Cultural Revolution

In 1957 he studied mathematics at Peking University, after which he entered the graduate program at the Institute of Mathematics of the Academia Sinica, which was renamed as the Chinese Academy of Sciences, in Beijing. His doctoral supervisor was Professor Pao-Lu Hsu (许宝騄), who suggested that Fang provide a multivariate generalization and correction of a univariate result, which had been given an incomplete proof in a Russian paper. With two weeks' work, Fang's submitted his extensions, which were declared by Hsu to suffice for his dissertation. Unfortunately, this paper remained unpublished for 19 years because the Cultural Revolution destroyed academic publishing in China. Fang reported that his studies were halted for the ten years of the Cultural Revolution, which lasted from 1966 to 1976.

After graduating from Peking University, he undertook postgraduate studies at the Institute of Mathematics of Academia Sinica, which had less "political chaos" than Peking University, according to Fang. There, as a postgraduate researcher, Fang was supervised by Minyi Yue. In 1965, he was assigned to the An Shan Steel and Iron Company, where he gave lectures to engineers and worked on nonlinear regression, before being sent to a rural village to work as a laborer for the rest of 1965 and 1966. In 1972 Fang and other staff at the Academy of Sciences promoted the use of experimental design to improve Qindao (Tsingtao) Beer.

Revival of academic life

Fang was successively appointed to be Assistant Researcher and Assistant Professor in 1978. He then joined the Institute of Applied Mathematics at Academia Sinica (Chinese Academy of Sciences), and he became Associate Professor in 1980 and Associate Director of the Institute in 1984. He was appointed Full Professor in 1986.

Multivariate analysis

In mathematical statistics, Fang has published textbooks and monographs in multivariate analysis. In particular, his books have extended classical multivariate analysis beyond the multivariate normal distribution to a generalized multivariate analysis using more general elliptical distributions, which have elliptically contoured distributions.

His book on Generalized multivariate analysis (with Zhang) has extensive results on multivariate analysis for elliptical distributions, to which T. W. Anderson refers readers of his An introduction to multivariate statistical analysis (3rd ed., 2003). The Fang and Zhang monograph used matrix differential calculus. One of Generalized multivariate analysis's innovations was its extensive use of the multilinear algebra, particularly of the Kronecker product and of vectorization, according to Kollo and von Rosen. Fang and Zhang's Generalized multivariate analysis was honored as a "most excellent book in China" by the Government Information and Publication Administration.

Combinatorial design and experiments: uniform designs

Fang also has conducted research in the design of experiments. In 1972, he worked with the Tsingdao Beer factory and other factories. He and other mathematical statisticians at the Chinese Academy of Sciences promoted the industrial use of orthogonal designs. Orthogonal designs are discussed in the books and papers of Fang on "uniform designs" and also by other authors.

Fang recognized that high-dimensional combinatorial designs, which had been used for numerical integration on the unit cube by Hua Luogeng (华罗庚, alternatively Hua Loo-Keng) and Yuan Wang (王元; alternatively Wang Yuan), could be used to study interaction, for example, in factorial experiments and response surface methodology. Collaborating with Wang led to Fang's uniform designs, which have been used also in computer simulations.

References

Kai-Tai Fang Wikipedia