If you liked Monte Carlo and Quasi-Monte Carlo Methods 2000 by Kai-Tai Fang and Fred J. Hickernell, start with Multivariate Algorithms and Information-Based Complexity (2020), Representative Points of Statistical Distributions (2025), and Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series (2006). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.

Back to Monte Carlo and Quasi-Monte Carlo Methods 2000 · Kai-Tai Fang books in order

Recommended next reads

  1. 1 Multivariate Algorithms and Information-Based Complexity 2020 · 158 pages · Fred J. Hickernell, Peter Kritzer · Same author
  2. 2 Representative Points of Statistical Distributions 2025 · 352 pages · Kai-Tai Fang, Huajun Ye, Yongdao Zhou · Same author
  3. 3 Design and Modeling for Computer Experiments. Computer Science and Data Analysis Series 2006 · 303 pages · Kai-Tai Fang · Same author
  4. 4 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 Monte Carlo and Quasi-Monte Carlo Methods 2000?

BookOrb recommends Multivariate Algorithms and Information-Based Complexity (2020), Representative Points of Statistical Distributions (2025), 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 Monte Carlo and Quasi-Monte Carlo Methods 2000?

Yes. The list on this page is ranked from the closest matches BookOrb has for Monte Carlo and Quasi-Monte Carlo Methods 2000.

Who wrote Monte Carlo and Quasi-Monte Carlo Methods 2000?

Monte Carlo and Quasi-Monte Carlo Methods 2000 is by Kai-Tai Fang and Fred J. Hickernell.