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Uncertainty in Engineering
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This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The final two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantification for aerospace flight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.
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- 51 - pdf (CC BY) at OAPEN Library.
Keywords
- Bayesian inference
- bayesian statistics
- complex systems
- engineering applications
- Experimental measurements
- Imprecise Probabilities
- inconsistent information
- Markov chains
- Mathematics
- Mathematics & science
- Mechanical engineering & materials
- model validation
- open access
- Probability & statistics
- Production engineering
- Reliability
- Reliability Engineering
- Technology, engineering, agriculture
- thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
- thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference
- Uncertainty Quantification
Links
DOI: 10.1007/978-3-030-83640-5Editions