Design and Modeling for Computer Experiments

by Kai-Tai Fang, Runze Li, Agus Sudjianto

Overview

Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific theoretical/mathematical examinations of computer experim

Product Details

ISBN-13:	9781040207604
Publisher:	CRC Press
Publication date:	10/14/2005
Series:	Chapman & Hall/CRC Computer Science & Data Analysis
Sold by:	Barnes & Noble
Format:	eBook
Pages:	304
File size:	8 MB

About the Author

Kai-Tai Fang, Runze Li, Agus Sudjianto

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.

Editorial 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

From the Publisher