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New insights on random regret minimization models
(2015)
This paper develops new methodological insights on Random Regret Minimization (RRM) models. It starts by showing that the classical RRM model is not scale-invariant, and that as a result - the degree of regret minimization ...
Generalized Tobit models: diagnostics and application in econometrics
(2018)
The standard Tobit model is constructed under the assumption of a normal distribution and has been widely applied in econometrics. Atypical/extreme data have a harmful effect on the maximum likelihood estimates of the ...
Development of a predictive model of fragmentation using drilling and blasting data in open pit mining
(2017)
This article presents predictive statistical models for fragmentation in open pit mines using drill-and-blast data. The main contribution of this work is the proposing of statistical models to determine the correlations ...