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Uncertainty in Engineering Introduction to Methods and Applications

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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. T...

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Bibliographic Details
Other Authors: Aslett, Louis J. M. (Editor), Coolen, Frank P. A. (Editor), De Bock, Jasper (Editor)
Format: Electronic Book Chapter
Language:English
Published: Bern Springer Nature 2022
Series:SpringerBriefs in Statistics
Subjects:
Probability & statistics
Reliability engineering
Bayesian inference
Uncertainty quantification
Engineering applications
Imprecise Probabilities
Bayesian Statistics
Markov Chains
Reliability
Complex systems
Inconsistent information
Model validation
Experimental measurements
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