Uncertainty in Engineering Introduction to Methods and Applications /
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...
Saved in:
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: | |
Online Access: | Link to Metadata |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Uncertainty in Engineering Introduction to Methods and Applications
Published: (2022) -
Uncertainty in Engineering Introduction to Methods and Applications
Published: (2022) -
Ship and Offshore Structure Design in Climate Change Perspective
by: Bitner-Gregersen, Elzbieta Maria, et al.
Published: (2013) -
Regularized System Identification Learning Dynamic Models from Data /
by: Pillonetto, Gianluigi, et al.
Published: (2022) -
Probability in Electrical Engineering and Computer Science An Application-Driven Course /
by: Walrand, Jean
Published: (2021)