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Design and Modeling for Computer Experiments (Computer Science and Data Analysis) [Englisch] [Gebundene Ausgabe]

Kai Tai Fang , Kaitai Fang , Li Runze

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Kurzbeschreibung

14. Oktober 2005 Computer Science and Data Analysis (Buch 6)
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.

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Synopsis

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.


In diesem Buch (Mehr dazu)
Einleitungssatz
The study of experimental design is extremely important in modern industry, science, and engineering. Lesen Sie die erste Seite
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1 von 1 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Good Book, Needs Editing 14. Oktober 2013
Von Carrot - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
I came from an engineering background and found this book accessible. It works out good examples which illustrate the concepts at hand. This is one of the book's greatest assets and also one of its flaws. Some of the examples contain typos which can be confusing when you are trying to learn. However, the text is generally clear enough that you can figure out where mistakes were made. All in all I think this is a good book if you want to jump into DOA and modeling for computer experiments. It gives a nice overview with enough depth to be useful.
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