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:
-
Shabbir, Javid
Gupta, Sat
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2015
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- 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/
- 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.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | 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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