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01590nam a2200265Ia 4500 |
| 001 |
10.3934-math.2022592 |
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220425s2022 CNT 000 0 und d |
| 020 |
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|a 24736988 (ISSN)
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| 245 |
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|a Improved generalized class of estimators in estimating the finite population mean using two auxiliary variables under two-stage sampling
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| 260 |
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|b American Institute of Mathematical Sciences
|c 2022
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.3934/math.2022592
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|a This article addresses the problem of estimating the finite population mean using two auxiliary variables under two-stage sampling scheme. Further the proposed improved class of estimators are provided their genralized form. Mathematical properties of the existing and proposed improved generalized class of estimators are derived up to first order of approximation. We identified 11 members of the improved generalized class of estimators which are more efficient than existing estimators in terms of the percentage relative efficiency. We use two real data sets under two-stage sampling to compare the performances of all of considered estimators. © 2022 the Author(s), licensee AIMS Press.
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|a auxiliary variables
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|a bias
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|a efficiency
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|a mean square error
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|a two-stage sampling
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|a Aamir, M.
|e author
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|a Ahmad, S.
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|a Ahmad, Z.
|e author
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|a Alrajhi, S.
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|a El-Morshedy, M.
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|a Hussain, S.
|e author
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|a Shabbir, J.
|e author
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| 773 |
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|t AIMS Mathematics
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