Keywords:
analysis
;
uncertainty quantification
;
model calibration
Description / Table of Contents:
Chapter 1: Introductory Chapter: Challenges of Uncertainty Quantification by Jan Peter Hessling ---
Chapter 2: Polynomial Chaos Expansion for Probabilistic Uncertainty Propagation by Shuxing Yang, Fenfen Xiong and Fenggang Wang ---
Chapter 3: State-of-the-Art Nonprobabilistic Finite Element Analyses by Wang Lei, Qiu Zhiping and Zheng Yuning ---
Chapter 4: Epistemic Uncertainty Quantification of Seismic Damage Assessment by Hesheng Tang, Dawei Li and Songtao Xue ---
Chapter 5: Uncertainty Quantification and Reduction of Molecular Dynamics Models by Xiaowang Zhou and Stephen M. Foiles ---
Chapter 6: Bayesian Uncertainty Quantification for Functional Response by Xiao Guo, Yang He, Binbin Zhu, Yang Yang, Ke Deng, Ruopeng Liu and Chunlin Ji ---
Chapter 7: Fitting Models to Data: Residual Analysis, a Primer by Julia Martin, David Daffos Ruiz de Adana and Agustin G. Asuero ---
Chapter 8: An Improved Wavelet-Based Multivariable Fault Detection Scheme by Fouzi Harrou, Ying Sun and Muddu Madakyaru ---
Chapter 9: Practical Considerations on Indirect Calibration in Analytical Chemistry by Antonio Gustavo González
Pages:
Online-Ressource (224 Seiten)
ISBN:
9789535132806
URL:
https://www.intechopen.com/books/uncertainty-quantification-and-model-calibration
Language:
English
