Uncertainty quantification : theory, implementation, and applications / Ralph Smith, North Carolina State University, Raleigh, North Carolina.
Saved in:
Online Access: |
Full Text (via SIAM) |
---|---|
Main Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Philadelphia, Pennsylvania :
Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104),
2013.
|
Series: | Computational science and engineering series.
|
Subjects: |
Table of Contents:
- Preface
- Notation
- Acronyms and initialisms
- Introduction
- Large-scale applications
- Prototypical models
- Fundamentals of probability, random processes, and statistics
- Representation of random inputs
- Parameter selection techniques
- Frequentist techniques for parameter estimation
- Bayesian techniques for parameter estimation
- Uncertainty propagation in models
- Stochastic spectral methods
- Sparse grid quadrature and interpolation techniques
- Prediction in the presence of model discrepancy
- Surrogate models
- Local sensitivity analysis
- Global sensitivity analysis
- Appendix a. Concepts from functional analysis
- Bibliography
- Index.