Contemporary Experimental Design, Multivariate Analysis and Data Mining

Festschrift in Honour of Professor Kai-Tai Fang

  • Jianqing Fan
  • Jianxin Pan

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Review of Kai-Tai Fang’s Contribution

    1. Front Matter
      Pages 1-1
    2. Jianxin Pan, Jiajuan Liang, Guoliang Tian
      Pages 3-19
    3. Min-Qian Liu, Dennis K. J. Lin, Yongdao Zhou
      Pages 21-35
    4. Ping He, Xiaoling Peng, Qingsong Xu
      Pages 37-48
  3. Design of Experiments

    1. Front Matter
      Pages 67-67
    2. Yiou Li, Lulu Kang, Fred J. Hickernell
      Pages 69-92
    3. Hongyan Jiang, Rongxian Yue
      Pages 145-161
    4. Si Qiu, Minyu Xie, Hong Qin, Jianhui Ning
      Pages 163-175
    5. Yu Tang
      Pages 177-186
  4. Multivariate Analysis

    1. Front Matter
      Pages 187-187
    2. Jiajuan Liang, Man-Lai Tang, Jing Yang, Xuejing Zhao
      Pages 189-199
    3. Milan Stehlík, Mirtha Pari Ruiz, Silvia Stehlíková, Ying Lu
      Pages 217-225
    4. Defei Zhang, Xiangzhao Cui, Chun Li, Jianxin Pan
      Pages 227-239
  5. Data Mining

    1. Front Matter
      Pages 241-241
    2. Elaheh Oftadeh, Jian Zhang
      Pages 261-276
    3. Tianming Zhu, Jin-Ting Zhang
      Pages 277-292
  6. Hypothesis Test and Statistical Models

    1. Front Matter
      Pages 293-293
    2. Chengcheng Hao, Feng Li, Dietrich von Rosen
      Pages 329-340
    3. M. Ai, Y. Huang, J. Yu
      Pages 357-372
    4. Baobin Wang, Ting Hu, Hong Yin
      Pages 373-386

About this book


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.


62F 62H 62G 62K 62J 62N 62P big data Functional data Covariance matrix high-dimensional data multivariate data network data variable selection experimental design longitudinal data Robust design survival data machine learning data mining Composite design Quantile regression

Editors and affiliations

  • Jianqing Fan
    • 1
  • Jianxin Pan
    • 2
  1. 1.Department of Financial EngineeringPrinceton UniversityPrincetonUSA
  2. 2.Department of MathematicsThe University of ManchesterManchesterUK

Bibliographic information