Experimental uncertainty estimation and statistics for data having interval uncertainty.

225 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Advanced line sampling for efficient robust reliability analysis (2015, methodology): “A detailed reasoning and discussion in this direction with an overview on available generalized models is provided in [14].45 In essence, a generalized model of uncertainty shall allow for imprecision in both the state variables of the system, denoted as θ, and the parameters of the probabilistic mo”
Validation of imprecise probability models (2009, methodology): “The 8 intervals implied by this incertitude were cumulated into a p-box describing epistemic uncertainty about the empirical distribution function (Ferson et al. 2007).”
Unified uncertainty analysis by the mean value first order saddlepoint approximation (2012, background): “The extension to intervals of a function f defined on the real number, for intervals XI = X I 1 , X I 2 , · · · , X I n ) , is (Ferson et al. 2007)”
Imprecise probabilities in engineering analyses (2013, unknown): “Imprecise probabilities also allow statistical estimations and tests with imprecise sample elements [48, 49, 50, 51, 52].”