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An improved class of estimators of finite population mean in simple random sampling using an auxiliary attribute

机译:使用辅助属性的简单随机采样,改进了有限群体的估计类别

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摘要

In this article, an improved class of estimators for estimating the finite population mean is proposed using supplementary information on an auxiliary attribute. The mathematical expressions for the bias and mean squared error of the proposed estimator are derived under the first order of the approximation using simple random sampling. An empirical study is conducted to investigate the performances of the proposed and the existing estimators. It turns out that the proposed estimator is considerably more efficient than the recent estimators suggested by Koyuncu and by Haq and Shabbir.
机译:在本文中,使用关于辅助属性的补充信息,提出了一种用于估计有限群体平均值的改进的估计类。 建议估计器的偏置和均方误差的数学表达式在使用简单随机采样的近似的第一阶下导出。 进行了实证研究以调查提议和现有估算的表现。 事实证明,建议的估计者比Koyuncu和Haq和Shabbir所建议的最近估计者更有效。

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