Preface
Section I: Introduction
Chapter 1: Experiments
- 1.1 Overview
- 1.2 Applications
- 1.3 Role of Uncertainty
- 1.4 Outline of the Book
Chapter 2: Modeling Techniques
- 2.1 Interpolation
- 2.2 Regression
Section II: Computer Experiments
Chapter 3: Model-based Designs
- 3.1 Prediction-based Designs
- 3.2 Maximum Entropy Designs
Chapter 4: Space-Filling Designs
- 4.1 Clustering-based designs
- 4.2 Minimax Designs
- 4.3 Maximin Designs
- 4.4 Latin Hypercube Designs
- 4.5 MaxPro Designs
- 4.6 Minimum Energy Designs
Chapter 5: Representative Points
- 5.1 Uniform Design
- 5.2 Non-uniform Distributions
Chapter 6: Screening Designs
- 6.1 Sensitivity Analysis
- 6.2 Morris Screening Design
- 6.3 MOFAT designs
Chapter 7: Sequential Designs
- 7.1 Emulation
- 7.2 Optimization
- 7.3 Inverse Designs
Section III: Physical Experiments
Chapter 8: Fractional Factorial Designs
- 8.1 Two-level Designs
- 8.2 Bayesian-inspired Designs
- 8.3 Designs with More than Two Levels
- 8.4 Mixture Designs
Chapter 9: Model Calibration
- 9.1 Nonlinear Optimal Designs
- 9.2 Robust Designs
Section IV: Data Science
Chapter 10: Data Subsampling
- 10.1 Support Points-based Subsampling
- 10.2 Data Splitting
- 10.3 Data Twinning
- 10.4 Supervised Compression
Chapter 11: Data Analysis
- 11.1 Factor Selection and Ranking
- 11.2 Twin-Gaussian Process
Bibliography
Index
Biography
V. Roshan Joseph is A. Russell Chandler III Chair and Professor in the Stewart School of Industrial and Systems Engineering at Georgia Tech. He is an author of more than 100 journal articles and has received many research awards. He is a Fellow of the American Statistical Association and the American Society for Quality, and a former editor of Technometrics.
