IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-46161-4_4.html
   My bibliography  Save this book chapter

A Review of Prof. Kai-Tai Fang’s Contribution to the Education, Promotion, and Advancement of Statistics in China

In: Contemporary Experimental Design, Multivariate Analysis and Data Mining

Author

Listed:
  • Gang Li

    (UCLA, Departments of Biostatistics and Biomedicine)

  • Xiaoling Peng

    (BNU-HKBU United International College, Division of Science and Technology)

Abstract

As an eminent leader in the field of statistics, Prof. Kai-Tai Fang has made impactful contributions to the application, promotion, education and advancement of statistics in China. Under his leadership, his team had completed some of the China’s hallmark industrial projects through novel applications of statistics and developments of new statistical methodologies. He has authored/coauthored a series of best-selling modern statistics textbooks, taught numerous workshops and short courses, and mentored a large number of students. He has been active in promoting scholastic exchanges and organizing national and international statistics conferences. He has also served on the leadership of many national and international statistics organizations and on the editorial boards of many major statistical journals. This article provides a selective review of Prof. Fang’s contributions to the education, promotion, and advancement of statistics in China.

Suggested Citation

  • Gang Li & Xiaoling Peng, 2020. "A Review of Prof. Kai-Tai Fang’s Contribution to the Education, Promotion, and Advancement of Statistics in China," Springer Books, in: Jianqing Fan & Jianxin Pan (ed.), Contemporary Experimental Design, Multivariate Analysis and Data Mining, chapter 0, pages 49-65, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-46161-4_4
    DOI: 10.1007/978-3-030-46161-4_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-46161-4_4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.