Table of Contents

PART I: AN OVERVIEW: Introduction. PART II: DESIGNS FOR COMPUTER EXPERIMENTS: Latin Hypercube Sampling and its Uniform Experimental Design
Optimization in Construction of Designs FOR Computer Experiments. PART III: MODELING FOR COMPUTER EXPERIMENTS: Metamodeling. Model Interpretation
Functional Response. APPENDIX: Some Useful Concepts in Statistics and Matrix Algebra. Abbreviation. References. Index. Author Index.

About the Author

Kai-Tai Fang, Runze Li, Agus Sudjianto

Reviews

". . . very well-organized text . . . makes a very valuable contribution to the field. I highly recommend it for anyone trying to learn design and modeling techniques for computer experiments. In particular, it will be a useful professional reference for scientists and engineers in practicing computer experiments, a comprehensive resource book for statisticians interested in developing new techniques for designing and modeling computation experiments, and an excellent book for undergraduate and graduate students. The authors’ careful and thorough presentation style makes the book a very enjoyable read." – Hao Helen Zhang, North Carolina State University, in JASA, December 2008