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CHAPTERS

CHAPTERS

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Front Matter

pp. i–xvi
Excerpt

Chapter 1: Introduction

pp. 1–15
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Chapter 2: A first look at screening using R

pp. 17–44
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Chapter 3: Variance-based sensitivity measures

pp. 45–91
Excerpt

Chapter 4: Spectral and metamodel-based estimation

pp. 93–116
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Chapter 5: Variance-based sensitivity measures with dependent inputs

pp. 117–147
Excerpt

Chapter 6: Beyond variance-based indices

pp. 149–185
Excerpt

Chapter 7: A case study in R: COVID-19 epidemic model

pp. 187–227
Excerpt

Appendix A: Sampling designs for model exploration in R

pp. 229–247
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Appendix B: Reproducing kernel Hilbert space

pp. 249–250
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Appendix C: Toy functions

pp. 251–252
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Appendix D: Software

pp. 253–257
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Back Matter

pp. 259–291
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cover image Computational Science & Engineering
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