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Table of contents (7 chapters)
Keywords
About this book
Reviews
From the reviews:
"This is quite a unique book and may fill a void in the design of experiments literature." Techonmetrics, November 2004
"This book will be a valuable reference for for any statistitican who is collaborating with scientists who use computer experiments or is interested in pursuing research in the area." Biometrics, March 2005
"This book describes methods for designing and analyzing experiments conducted using computer program to replace a physical experiment. … To the best of my knowledge, there has been no book yet written in the area of computer experiment. … Therefore, this is quite a unique book and may fill a void in the design of experiments literature. As mentioned in the Preface, this book has tried to keep the mathematics at the level of readers with master’s-level training in statistics." (Lih-Yuan Deng, Technometrics, Vol. 46 (4), November, 2004)
"The book by Thomas Santner et al. illustrates the usefulness ofcomputer models and statistical methodologies to extract information in stimulated data … . Computer modeling has been challenging to the practitioners, and this book eases these challenges with the exposure of basic ideas and daunting formulas. This well written book seven chapters … . The references are exhaustive and current." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 75 (2), February, 2005)
Authors and Affiliations
Bibliographic Information
Book Title: The Design and Analysis of Computer Experiments
Authors: Thomas J. Santner, Brian J. Williams, William I. Notz
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-1-4757-3799-8
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2003
Softcover ISBN: 978-1-4419-2992-1Published: 01 December 2010
eBook ISBN: 978-1-4757-3799-8Published: 09 March 2013
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 1
Number of Pages: XII, 284
Topics: Computational Mathematics and Numerical Analysis, Simulation and Modeling, Mathematical and Computational Engineering, Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences