Generalized ratio-cum-product type exponential estimation of the population mean in median ranked set sampling
This study presents a proposal to estimate the finite population's mean of the main variable by median ranked set sampling through the generalized ratio-cum-product type exponential estimator. The relative bias , mean squared error and percentage relative efficiencies of the proposed estimato...
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Published in: | المجلة العراقية للعلوم الاحصائية Vol. 19; no. 1; pp. 83 - 97 |
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Main Authors: | , |
Format: | Journal Article |
Language: | Arabic |
Published: |
College of Computer Science and Mathematics, University of Mosul
01-06-2022
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Online Access: | Get full text |
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Summary: | This study presents a proposal to estimate the finite population's mean of the main variable by median ranked set sampling through the generalized ratio-cum-product type exponential estimator. The relative bias , mean squared error and percentage relative efficiencies of the proposed estimator is obtained to the first degree of approximation. The proposed estimator are more efficient than the usual unbiased estimator, ratio, product type, and other estimators. Finally, the estimators' abilities are evaluated through simulations, showing that the proposed estimator is more efficient than several other estimators. |
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ISSN: | 1680-855X 2664-2956 |
DOI: | 10.33899/iqjoss.2022.174332 |