Quantifying uncertainty in the estimation of probability distributions
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Updated: Jun 24, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
Published on: September 7, 2019
1North Carolina State University, Raleigh, North Carolina 27695-8205, USA. htbanks@ncsu.edu
Abstract:
We consider ordinary least squares parameter estimation problems where the unknown parameters to be estimated are probability distributions. A computational framework for quantification of uncertainty (e.g., standard errors) associated with the estimated parameters is given and sample numerical findings are presented.
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