A Note on Generalized Exponential Type Estimator for Population Variance in Survey Sampling
Recently a new generalized estimator for population variance using information on the auxiliary variable has been introduced by Asghar, Sanaullah and Hanif (2014). In that paper there was some inaccuracy in the bias and MSE expressions. In this paper, we provide the correct expressions for bias and...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | Colombia |
| Institución: | Universidad Nacional de Colombia |
| Repositorio: | Repositorio UN |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.unal.edu.co:unal/66532 |
| Acceso en línea: | https://repositorio.unal.edu.co/handle/unal/66532 http://bdigital.unal.edu.co/67560/ |
| Access Level: | acceso abierto |
| Palabra clave: | 51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics Auxiliary Variable Bias Efficiency Mean Square Error Variance Error cuadrático medio Sesgo Variable auxiliar Varianza Eficiencia. |
| Sumario: | Recently a new generalized estimator for population variance using information on the auxiliary variable has been introduced by Asghar, Sanaullah and Hanif (2014). In that paper there was some inaccuracy in the bias and MSE expressions. In this paper, we provide the correct expressions for bias and MSE of the Asghar et al. (2014) estimator, up to the first order of approximation. We also propose a new generalized exponential type estimator for population variance which performs better than the existing estimators. Four data sets are used for numerical comparison of efficiencies. |
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