Uncertainty in Engineering Introduction to Methods and Applications /

Uncertainty in Engineering Introduction to Methods and Applications /

Show other versions (2)

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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Table of Contents:
  • 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.

Similar Items