Modeling and inverse problems in the presence of uncertainty /
Modeling and Inverse Problems in the Presence of Uncertainty collects recent research-including the authors' own substantial projects-on uncertainty propagation and quantification. It covers two sources of uncertainty: where uncertainty is present primarily due to measurement errors and where u...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press, Taylor and Francis,
2014.
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| Series: | Monographs and research notes in mathematics.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Introduction
- 2. Probability and statistics overview
- 3. Mathematical and statistical aspects of inverse problems
- 4. Model selection criteria
- 5. Estimation of probability measures using aggregate population data
- 6. Optimal design
- 7. Propagation of uncertainty in a continuous time dynamical system
- 8. A stochastic system and its corresponding deterministic system.