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The Design and Analysis of Computer Experiments / Edition 2
The Design and Analysis of Computer Experiments / Edition 2
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New to this revised and expanded edition:
• An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples
• A new comparison of plug-in prediction methodologies for real-valued simulator output
• An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions
• A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization
• A new chapter describing graphical and numerical sensitivity analysis tools
• Substantial new material on calibration-based prediction and inference for calibration parameters
• Lists of software that can be used to fit models discussed in the book to aid practitioners