Improved Exponential Type Ratio Estimator of Population Variance
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional de Colombia
2013
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| _version_ | 1876478138281623552 |
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| author | Subhash Kumar Yadav |
| author_facet | Subhash Kumar Yadav |
| contents | Improved Exponential Type Ratio Estimator of Population Variance Subhash Kumar Yadav Cem Kadilar Física, Astronomía y Matemáticas Bias Efficiency Auxiliary variable Mean squared error This article considers the problem of estimating the population variance using auxiliary information. An improved version of Singh’s exponential type ratio estimator has been proposed and its properties have been studied under large sample approximation. It is shown that the proposed exponential type ratio estimator is more efficient than that considered by the Singh estimator, conventional ratio estimator and the usual unbiased estimator under some realistic conditions. An empirical study has been carried out to judge the merits of the suggested estimator over others. 2013 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89928087008 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.36 |
| format | Artículo científico |
| id | redalyc_89928087008 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Improved Exponential Type Ratio Estimator of Population Variance Subhash Kumar Yadav Física, Astronomía y Matemáticas Bias Efficiency Auxiliary variable Mean squared error Improved Exponential Type Ratio Estimator of Population Variance Subhash Kumar Yadav Cem Kadilar Física, Astronomía y Matemáticas Bias Efficiency Auxiliary variable Mean squared error This article considers the problem of estimating the population variance using auxiliary information. An improved version of Singh’s exponential type ratio estimator has been proposed and its properties have been studied under large sample approximation. It is shown that the proposed exponential type ratio estimator is more efficient than that considered by the Singh estimator, conventional ratio estimator and the usual unbiased estimator under some realistic conditions. An empirical study has been carried out to judge the merits of the suggested estimator over others. 2013 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89928087008 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.1 Vol.36 |
| title | Improved Exponential Type Ratio Estimator of Population Variance |
| topic | Física, Astronomía y Matemáticas Bias Efficiency Auxiliary variable Mean squared error |
| url | https://www.redalyc.org/articulo.oa?id=89928087008 |