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Simple Effective Conservative Treatment of Uncertainty From Sparse Samples of Random Variables and Functions

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References

2011Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data156 cited
2017On the quantification and efficient propagation of imprecise probabilities resulting from small datasets97 cited
2012Distribution type uncertainty due to sparse and imprecise data65 cited
2008The use of kernel densities and confidence intervals to cope with insufficient data in validation experiments41 cited
2008Being Conservative with a Limited Number of Test Results22 cited
2013A comparison of methods for representing sparsely sampled random quantities.14 cited
2013A Comparison of Methods for Representing and Aggregating Uncertainties Involving Sparsely Sampled Random Variables - More Results10 cited

Cited by

2018Discrete-Direct Model Calibration and Propagation Approach Addressing Sparse Replicate Tests and Material, Geometric, and Measurement Uncertainties8 cited
2020Propagating Stress-Strain Curve Variability in Multi-Material Problems: Temperature-Dependent Material Tests to Plasticity Models to Structural Failure Predictions7 cited

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