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Improvement in variance estimation using transformed auxiliary variable under simple random sampling
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DOI：10.1038/s41598-024-58841-x.png)
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摘要
En 中文
This paper offers a novel approach to formulate efficient ratio estimator of the population variance using a transformed auxiliary variable. The impact of transformation on auxiliary information has also been discussed. It is observed that incorporating a transformed auxiliary variable result in a high gain in efficiency. Theoretical properties of the newly developed estimators have been derived. The empirical and simulation studies show that the suggested estimators outperformed the existing estimators.
Keyword:
Auxiliary variable
Mean square error
Population variance
Percentage relative efficiency
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期刊
IF:
3.9
论文数:
28.0W
被引数:
83.5W
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