title: Quantifying uncertainty in the estimation of probability distributions.
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.
authors.affiliation: North Carolina State University, Raleigh, North Carolina 27695-8205, USA. htbanks@ncsu.edu
authors.forename: H T
authors.initials: HT
authors.lastname: Banks
authors.forename: Jimena L
authors.initials: JL
authors.lastname: Davis
mesh_terms: D015233:Models, Statistical; D011336:Probability; D035501:Uncertainty