Open access peer-reviewed Edited volume

Uncertainty Quantification and Model Calibration

Edited by Jan Peter Hessling

Kapernicus Inc. (AB)

Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical ambitions and genuine concern for modeling quality. Uncertainty quantification is what remains to be done when too much credibility has been invested in deterministic analyses and unwarranted assumptions. Model calibration describes the inverse operation targeting optimal prediction and refers to inference of best uncertain model estimates from experimental calibration data. The limited applicability of most state-of-the-art approaches to many of the large and complex calculations made today makes uncertainty quantification and model calibration major topics open for debate, with rapidly growing interest from both science and technology, addressing subtle questions such as credible predictions of climate heating.

Read more >Order hardcopy
IntechOpen
Uncertainty Quantification and Model CalibrationEdited by Jan Peter Hessling

Published: July 5th 2017

DOI: 10.5772/65579

ISBN: 978-953-51-3280-6

Print ISBN: 978-953-51-3279-0

Books open for chapter submissions

3396 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Challenges of Uncertainty Quantification

By Jan Peter Hessling

343

Open access peer-reviewed

2. Polynomial Chaos Expansion for Probabilistic Uncertainty Propagation

By Shuxing Yang, Fenfen Xiong and Fenggang Wang

558

Open access peer-reviewed

3. State‐of‐the‐Art Nonprobabilistic Finite Element Analyses

By Wang Lei, Qiu Zhiping and Zheng Yuning

409

Open access peer-reviewed

4. Epistemic Uncertainty Quantification of Seismic Damage Assessment

By Hesheng Tang, Dawei Li and Songtao Xue

294

Open access peer-reviewed

5. Uncertainty Quantification and Reduction of Molecular Dynamics Models

By Xiaowang Zhou and Stephen M. Foiles

318

Open access peer-reviewed

6. Bayesian Uncertainty Quantification for Functional Response

By Xiao Guo, Yang He, Binbin Zhu, Yang Yang, Ke Deng, Ruopeng Liu and Chunlin Ji

313

Open access peer-reviewed

7. Fitting Models to Data: Residual Analysis, a Primer

By Julia Martin, David Daffos Ruiz de Adana and Agustin G. Asuero

460

Open access peer-reviewed

8. An Improved Wavelet‐Based Multivariable Fault Detection Scheme

By Fouzi Harrou, Ying Sun and Muddu Madakyaru

324

Open access peer-reviewed

9. Practical Considerations on Indirect Calibration in Analytical Chemistry

By Antonio Gustavo González

377

Edited volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

Order a hardcopy of the Edited volume

Free shipping with DHL Express

Hardcover (ex. VAT)£140

Order now

Residents of European Union countries need to add a Book Value-Added Tax of 5%. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Special discount for IntechOpen contributors

All IntechOpen contributors are offered special discounts starting at 40% OFF available through your personal dashboard

Login and purchase