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Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters
Conventional measures of location are commonly used to develop ratio estimators. However, in this article, we attempt to use some non-conventional location measures. We have incorporated tri-mean, Hodges-Lehmann, and mid-range of the auxiliary variable for this purpose. To enhance the efficiency of...
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| Published in: | Revista Colombiana de estadística 2016-01, Vol.39 (1), p.63-79 |
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| Main Authors: | , , , |
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| cites | cdi_FETCH-LOGICAL-c2679-b2ebd488a78e916ef6c63acf762553de634840b3d99e1350e9de7d971f8235603 |
| container_end_page | 79 |
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| container_title | Revista Colombiana de estadística |
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| creator | Abid, Muhammad Abbas, Nasir Nazir, Hafiz Zafar Lin, Zhengyan |
| description | Conventional measures of location are commonly used to develop ratio estimators. However, in this article, we attempt to use some non-conventional location measures. We have incorporated tri-mean, Hodges-Lehmann, and mid-range of the auxiliary variable for this purpose. To enhance the efficiency of the proposed mean ratio estimators, population correlation coefficient, coefficient of variation and the linear combinations of auxiliary variable have also been exploited. The properties associated with the proposed estimators are evaluated through bias and mean square errors. We also provide an empirical study for illustration and verification. |
| doi_str_mv | 10.15446/rce.v39n1.55139 |
| format | article |
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| ispartof | Revista Colombiana de estadística, 2016-01, Vol.39 (1), p.63-79 |
| issn | 0120-1751 2389-8976 |
| language | eng |
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| source | Publicly Available Content Database (Proquest) (PQ_SDU_P3) |
| subjects | Bias Correlation analysis Estimating techniques Mean square errors Variance analysis |
| title | Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters |
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