If you liked Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series by Kai-Tai Fang, start with Representative Points of Statistical Distributions (2025), Theory and Application of Uniform Experimental Designs (2018), and Monte Carlo and Quasi-Monte Carlo Methods 2000 (2011). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.

Back to Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series · Kai-Tai Fang books in order

Recommended next reads

  1. 1 Representative Points of Statistical Distributions 2025 · 352 pages · Kai-Tai Fang, Huajun Ye, Yongdao Zhou · Same author
  2. 2 Theory and Application of Uniform Experimental Designs 2018 · 316 pages · Kai-Tai Fang, Min-Qian Liu, Hong Qin, Yong-Dao Zhou · Same author
  3. 3 Monte Carlo and Quasi-Monte Carlo Methods 2000 2011 · 548 pages · Kai-Tai Fang, Fred J. Hickernell · Same author

Frequently asked questions

What should I read after Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series?

BookOrb recommends Representative Points of Statistical Distributions (2025), Theory and Application of Uniform Experimental Designs (2018), and Monte Carlo and Quasi-Monte Carlo Methods 2000 (2011).

Are there books like Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series?

Yes. The list on this page is ranked from the closest matches BookOrb has for Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series.

Who wrote Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series?

Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series is by Kai-Tai Fang.