Una adaptación del procedimiento bootstrap en la estimación del error cuadrático medio en área pequeñas con aplicación a datos colombianos.
The thesis presented here focus on the estimation in small areas. The purpose is to implement a modi ed Bootstrap procedure, which allows obtaining an estimate of the mean squared error. In this study a Mixed General Linear model is considered, particular, a two-level model. The main contribution of...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2019 |
| País: | Colombia |
| Institución: | Universidad Nacional de Colombia |
| Repositorio: | Repositorio UN |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.unal.edu.co:unal/75926 |
| Acceso en línea: | https://repositorio.unal.edu.co/handle/unal/75926 |
| Access Level: | acceso abierto |
| Palabra clave: | 310 - Colecciones de estadística general Áreas pequeñas Estimador Error Cuadrático Medio Bootstrap Small areas Estimator Mean squared error Bootstrap. |
| Sumario: | The thesis presented here focus on the estimation in small areas. The purpose is to implement a modi ed Bootstrap procedure, which allows obtaining an estimate of the mean squared error. In this study a Mixed General Linear model is considered, particular, a two-level model. The main contribution of this thesis consists on considering, in the Bootstrap procedure adaptation, the conditioned Pearson residuals associated to the error of the model (residuals of the units of level 1) and the EBLUP Pearson residuals corresponding to the prediction of the random e ect of the model (residuals of the units of level 2), which has not been considered in the literature related to the Bootstrap procedures applied to linear mixed hierarchical models. |
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