Classical parametric estimation methods applied to nonlinear regression and limited-dependent-variable models are very … regression models. Therefore, I adapt some robust methods, such as least trimmed squares, to nonlinear and limited-dependent … variable models. This paper presents the adapted robust estimators, proofs of their consistency, suitable computational methods …

Classical parametric estimation methods applied to nonlinear regression and limited-dependent-variable models are very … regression models. Therefore, I adapt some robust methods, such as least trimmed squares, to nonlinear and limited-dependent … variable models. This paper presents the adapted robust estimators, proofs of their consistency, suitable computational methods …

impact on the inflicted economy and their links with financial, political and macroeconomic fundamentals. Limited-dependent … variable models for ordered and unordered outcomes along with their heteroskedastic and random effects extensions are applied …

Classical parametric estimation methods applied to nonlinear regression and limited-dependent-variable models are very … limited- dependent-variable models. This paper presents the adapted robust estimators and proofs of their consistency. I also …

Classical parametric estimation methods applied to nonlinear regression and limited-dependent-variable models are very … limited-dependent-variable models. This paper presents the adapted robust estimators and proofs of their consistency. I also …