Linear estimators in nonlinear regression models with nonlinear constraints can suffer more or less mainly by bias. The quadratic corrections can help however not in every situation. Some numerical studies of the problem are presented in the paper.
Linear estimators in nonlinear regression models with nonlinear constraints can suffer more or less mainly by bias. The quadratic corrections can help however not in every situation. Some numerical studies of the problem are presented in the paper. (en)