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A ratio chain-type exponential estimator for finite population mean using double sampling
In this article, we have proposed a ratio chain-type exponential estimator for finite population mean of the study variable under double sampling scheme using auxiliary variables. The large sample properties of the suggested strategy are derived up to first order, of approximation, and its competenc...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729763/ https://www.ncbi.nlm.nih.gov/pubmed/26848426 http://dx.doi.org/10.1186/s40064-016-1717-4 |
Sumario: | In this article, we have proposed a ratio chain-type exponential estimator for finite population mean of the study variable under double sampling scheme using auxiliary variables. The large sample properties of the suggested strategy are derived up to first order, of approximation, and its competence conditions are carried out under which the suggested estimator is performed better than the other existing estimators discussed in the literature. An empirical study shows that the suggested strategy is more efficient than the other relevant competing estimators under two phase sampling scheme. |
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