If you liked Representative Points of Statistical Distributions by Kai-Tai Fang, Huajun Ye, and Yongdao Zhou, start with Monte Carlo and Quasi-Monte Carlo Methods 2000 (2011), Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series (2006), and Theory and Application of Uniform Experimental Designs (2018). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.

Back to Representative Points of Statistical Distributions · Kai-Tai Fang books in order

Recommended next reads

  1. 1 Monte Carlo and Quasi-Monte Carlo Methods 2000 2011 · 548 pages · Kai-Tai Fang, Fred J. Hickernell · Same author
  2. 2 Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series 2006 · 303 pages · Kai-Tai Fang · Same author
  3. 3 Theory and Application of Uniform Experimental Designs 2018 · 316 pages · Kai-Tai Fang, Min-Qian Liu, Hong Qin, Yong-Dao Zhou · Same author

Frequently asked questions

What should I read after Representative Points of Statistical Distributions?

BookOrb recommends Monte Carlo and Quasi-Monte Carlo Methods 2000 (2011), Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series (2006), and Theory and Application of Uniform Experimental Designs (2018).

Are there books like Representative Points of Statistical Distributions?

Yes. The list on this page is ranked from the closest matches BookOrb has for Representative Points of Statistical Distributions.

Who wrote Representative Points of Statistical Distributions?

Representative Points of Statistical Distributions is by Kai-Tai Fang, Huajun Ye, and Yongdao Zhou.