An Estimator of Population Variance Using Multi-Auxiliary Information

Vyas Dubey, Reena Sonkar
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Abstract

In this article, an estimator of population variance using multi-auxiliary information has been proposed. It is seen that under certain conditions, the proposed estimator is less biased and more efficiency than existing estimators. Theoretical results are supported numerically. Moreover, a simulation study also has been made.
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使用多重辅助信息的人口方差估算器
本文提出了一种利用多辅助信息的种群方差估计器。结果表明,在某些条件下,所提出的估计器比现有的估计器偏差更小,效率更高。理论结果得到了数值支持。此外,还进行了模拟研究。
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