Uncertainty in Engineering Introduction to Methods and Applications /

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
Corporate Author: SpringerLink (Online service)
Other Authors: Aslett, Louis J. M. (Editor), Coolen, Frank P. A. (Editor), De Bock, Jasper (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:SpringerBriefs in Statistics,
Subjects:
Statistics .
Industrial engineering.
Production engineering.
Statistical Theory and Methods.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Industrial and Production Engineering.
Bayesian Inference.
Online Access:Link to Metadata
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