An enhanced two‐quantile Wilks methodology for engineering uncertainty analysis-Reference-Cited by-同舟云学术

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An enhanced two‐quantile Wilks methodology for engineering uncertainty analysis

Published:2022-11-12 Issue:1 Volume:39 Page:88-113
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stoch Models Bus & Ind

Author:

van Dorp Johan René¹²,Shittu Ekundayo¹^ORCID,Rabiti Cristian³

Affiliation:

1. Engineering Management and Systems Engineering Department The George Washington University Washington District of Columbia USA

2. Johan René van Dorp, School of Engineering and Applied Science The George Washington University Washington District of Columbia USA

3. Ultra Safe Nuclear Corporation Idaho USA

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2729

Reference57 articles.

1. The Monte Carlo driven and machine learning enhanced process simulator

2. Uncertainty quantification and global sensitivity analysis of complex chemical process using a generalized polynomial chaos approach

3. Estimation of percentiles using the Kriging method for uncertainty propagation

4. NUCLEAR DATA UNCERTAINTY PROPAGATION FOR A TYPICAL PWR FUEL ASSEMBLY WITH BURNUP

5. A tolerance interval based approach to address uncertainty for RAMS+C optimization

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