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Optimal Selection of Calibration and Validation Test Samples Under Uncertainty · Study

WorkOptimal Selection of Calibration and Validation Test Samples Under Uncertainty

Joshua Mullins2014

Work2014

Optimal Selection of Calibration and Validation Test Samples Under Uncertainty

Joshua Mullins · Sankaran Mahadevan · Angel Urbina

11 citations·0/0 files stored·Conference proceedings of the Society for Experimental Mechanics

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Probabilistic and Robust Engineering Design Control Systems and Identification Optimal Experimental Design Methods

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References

2007Model validation and predictive capability for the thermal challenge problem 1999A Simulated Annealing Algorithm with Constant Temperature for Discrete Stochastic Optimization 2006Validation and error estimation of computational models 1995Reappraisal of Hypothesis Testing for Method Validation: Detection of Systematic Error by Comparing the Means of Two Methods or of Two Laboratories 2007Computational methods for model reliability assessment 2009Validation of imprecise probability models 2006Validation of models with multivariate output 2013Test Resource Allocation in Hierarchical Systems Using Bayesian Networks

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2013Uncertainty Quantification Using Multi-Level Calibration and Validation Dataother · 7 shared references 2015Separation of aleatory and epistemic uncertainty in probabilistic model validationarticle · 6 shared references 2015Bayesian Uncertainty Integration for Model Calibration, Validation, and Predictionarticle · 6 shared references 2017Dynamics Model Validation Using Time-Domain Metricsarticle · 5 shared references 2019Review of statistical model calibration and validation—from the perspective of uncertainty structuresarticle · 4 shared references 2012Uncertainty Quantification and Integration in Engineering Systemsarticle · 4 shared references

Details

Year2014

Typeother

Published2014-01-01

VenueConference proceedings of the Society for Experimental Mechanics

ISSN-L2191-5644

Languageen

Citations11

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1007/978-3-319-04552-8_39

openalex_workW254394024

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