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The Design and Analysis of Computer Experiments

Thomas J. Santner; Brian J. Williams; William I. Notz

978-1-4939-8847-1

2018
Edition 2
- 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
€320

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