Conferencia: "The empirical best predictor in the two-fold nested error regression model"

Fecha: Viernes 27 de noviembre de 2015
Lugar: Seminario 1 del Insituto de Matemáticas. C/ Ventanilla, 11
Horario: 12,30h
Descripción: Seminario impartido por el profesor Domingo Morales.
Summary: We propose to estimate nonlinear small area population parameters by using the empirical Best predictor based on a two-fold nested error model. The introduced statistical methodology is applicable to poverty indicators and more generally to separable nonlinear parameters paper. We use a parametric bootstrap method to estimate the mean squared error of the empirical best estimators. We also study small sample properties of these estimators by model-based simulation studies. The simulations show reductions in mean squared error relative to direct area-specific estimators and other estimators obtained by “simulated” censuses. We also apply the proposed method to estimate poverty incidences, poverty gaps, and the corresponding mean squared errors in Spanish provinces by gender. For the Spanish data, results show a significant reduction in coefficient of variation of the proposed empirical best estimators over direct estimators
Organiza: Insituto de Matemáticas.
Más información: mrueda@ugr.es

Conferencia: «The empirical best predictor in the two-fold nested error regression model»