Improved exponential type ratio estimator of population variance
This article considers the problem of estimating the population varianceusing auxiliary information. An improved version of Singh’s exponential typeratio estimator has been proposed and its properties have been studied underlarge sample approximation. It is shown that the proposed exponential typera...
- Autores:
-
Yadav, Subhash Kumar
Kadilar, Cem
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2013
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/73212
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/73212
http://bdigital.unal.edu.co/37687/
- Palabra clave:
- Auxiliary variable
Bias
Efficiency
Mean squared error
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | This article considers the problem of estimating the population varianceusing auxiliary information. An improved version of Singh’s exponential typeratio estimator has been proposed and its properties have been studied underlarge sample approximation. It is shown that the proposed exponential typeratio estimator is more efficient than that considered by the Singh estimator,conventional ratio estimator and the usual unbiased estimator under somerealistic conditions. An empirical study has been carried out to judge themerits of the suggested estimator over others. |
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