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  • 1
    Unknown
    Rijeka : InTech
    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
    Language: English
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