The Design and Analysis of Computer Experiments
This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the pu...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2018, 2018
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| Edition: | 2nd ed. 2018 |
| Series: | Springer Series in Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Physical Experiments and Computer Experiments
- Stochastic Process Models for Describing Simulator Output
- Empirical Best Linear Unbiased Prediction for Simulator Output
- Bayesian Inference for Simulator Output
- Space-Filling Designs for Computer Experiments
- Some Criterion-based Experimental Designs
- Sensitivity Analysis and Variable Screening
- Calibration
- Appendix A : List of Notation
- Appendix B: Mathematical Facts
- Appendix C: An Overview of Selected Optimization Algorithms
- Appendix D: An Introduction to Markov Chain Monte Carlo Algorithms
- Appendix E: A Primer on Constructing Quasi-Monte Carlo Sequences