TY  - BOOK
AU  - Aslett,Louis J.M.
AU  - Coolen,Frank P.A.
AU  - De Bock,Jasper
ED  - SpringerLink (Online service)
TI  - Uncertainty in Engineering: Introduction to Methods and Applications 
T2  - SpringerBriefs in Statistics,
SN  - 9783030836405
AV  - QA276-280 
U1  - 519.5 23
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Statistics 
KW  - Industrial engineering
KW  - Production engineering
KW  - Statistical Theory and Methods
KW  - Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Industrial and Production Engineering
KW  - Bayesian Inference
N1  - Introduction to Bayesian statistical inference -- Sampling from complex probability distributions: a Monte Carlo primer for engineers -- Introduction to the theory of imprecise probability -- Imprecise discrete-time Markov chains -- Statistics with imprecise probabilities – a short survey -- Reliability -- Simulation methods for the analysis of complex systems -- Overview of stochastic model updating in aerospace application under uncertainty treatment -- Aerospace flight modeling and experimental testing; Open Access
N2  - 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
UR  - https://doi.org/10.1007/978-3-030-83640-5
ER  -