Kai‐Tai Fang
About
Kai‐Tai Fang has authored 86 papers that have received a total of 3.3k indexed citations.
This includes 37 papers in Statistics and Probability, 19 papers in Management Science and Operations Research and 16 papers in Computational Theory and Mathematics. The topics of these papers are Advanced Statistical Methods and Models (26 papers), Optimal Experimental Design Methods (16 papers) and Statistical Distribution Estimation and Applications (16 papers). Kai‐Tai Fang is often cited by papers focused on Advanced Statistical Methods and Models (26 papers), Optimal Experimental Design Methods (16 papers) and Statistical Distribution Estimation and Applications (16 papers) and collaborates with scholars based in China, Hong Kong and United States. Kai‐Tai Fang's co-authors include Yi‐Zeng Liang, Samuel Kotz, Runze Li, Rahul Mukerjee and Jianxin Pan and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Chromatography A.
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