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Zusatztext ". . . 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 Informationen zum Autor Kai-Tai Fang, Runze Li, Agus Sudjianto Klappentext Taking a practical approach, Design and Modeling for Computer Experiments presents the most useful design and modeling methods for computer simulations used to study physical systems. The authors introduce the basic concepts of design as well as the concept of Latin hypercube sampling and its modifications. They cover uniform design, measures of uniformity, and their algebraic equations. They also provide various stochastic optimization techniques along with a variety of popular algorithms, such as simulated annealing, stochastic evolutionary, and threshold acceptance. The text includes discussions on special techniques for model interpretation, including generalized ANOVA and the Fourier Amplitude Sensitivity Test. Zusammenfassung Combines a statistical approach with engineering applications and delineates the steps for successfully modeling a problem and analyzing it to find the solution. This work introduces basic concepts and examines computer experiment design. It presents various modeling techniques and discusses model interpretation, including sensitivity analysis. Inhaltsverzeichnis 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. ...
List 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.
