Design and Modeling for Computer Experiments

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Kai-Tai Fang (Hong Kong Baptist University, Kowloon) Runze Li (Pennsylvania State University, University Park, USA)

Design and Modeling for Computer Experiments

Kai-Tai Fang (Hong Kong Baptist University, Kowloon), Runze Li (Pennsylvania State University, University Park, USA), Agus Sudjianto (Bank of America, Charlotte, North Carolina, USA) , Agus Sudjianto (Bank of America, Charlotte, North Carolina, USA)

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English

Chapman & Hall/CRC
30 June 2020

Probability & statistics; Technology, Engineering & Agriculture; Computing: general; Computer science

Series: Chapman & Hall/CRC Computer Science & Data Analysis

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 experiment design are available, those interested in applying proposed methodologies need a practical presentation and straightforward guidance on analyzing and interpreting experiment results.

Written by authors with strong academic reputations and real-world practical experience, Design and Modeling for Computer Experiments is exactly the kind of treatment you need. The authors blend a sound, modern statistical approach with extensive engineering applications and clearly delineate the steps required to successfully model a problem and provide an analysis that will help find the solution. Part I introduces the design and modeling of computer experiments and the basic concepts used throughout the book. Part II focuses on the design of computer experiments. The authors present the most popular space-filling designs - like Latin hypercube sampling and its modifications and uniform design - including their definitions, properties, construction and related generating algorithms. Part III discusses the modeling of data from computer experiments. Here the authors present various modeling techniques and discuss model interpretation, including sensitivity analysis. An appendix reviews the statistics and mathematics concepts needed, and numerous examples clarify the techniques and their implementation.

The complexity of real physical systems means that there is usually no simple analytic formula that sufficiently describes the phenomena. Useful both as a textbook and professional reference, this book presents the techniques you need to design and model computer experiments for practical problem solving.

By: Kai-Tai Fang (Hong Kong Baptist University Kowloon), Runze Li (Pennsylvania State University, University Park, USA), Agus Sudjianto (Bank of America, Charlotte, North Carolina, USA), Agus Sudjianto (Bank of America, Charlotte, North Carolina, USA)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780367578008
ISBN 10: 036757800X
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Pages: 302
Publication Date: 30 June 2020
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Kai-Tai Fang, Runze Li, Agus Sudjianto

Reviews for Design and Modeling for Computer Experiments

"". . . 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