A multivariate interval approach for inverse uncertainty quantification with limited experimental data - Concepedia

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A multivariate interval approach for inverse uncertainty quantification with limited experimental data

DOI Full Paper Access

75

Citations

33

References

2018

Year

Matthias G.R. Faes, Matteo Broggi, Edoardo Patelli, Yves Govers, John E. Mottershead, Michael Beer, David Moens

Mechanical Systems and Signal Processing

Multivariate Interval ApproachUncertainty ModelingUncertainty QuantificationUncertainty FormalismInterval AnalysisBiostatisticsInverse ProblemsStatistical InferenceUncertain DataInverse Uncertainty QuantificationPublic HealthStatisticsUncertainty ParameterLimited Experimental Data

References

	Year	Citations

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