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Two-stage sampling exponential and chain ratio type estimators in the presence of measurement error

机译:两阶段抽样指数和链比例估计量的测量类型错误

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摘要

Currently one of the most important topics that are discussed in survey methodology is the accuracy of statistics or survey errors that may occur in the parameters estimation process and measurement error is one of the most important non-sampling error. In the present study general class of exponential and chain ratio type estimators are considered under two stage sampling for the estimation of population mean by using two auxiliary variables in the presence of measurement error. The bias and mean square error of these estimator has been obtained. Moreover, two artificial populations are generated to check the properties of proposed estimator among other estimator. The relative efficiency is also computed and the results revealed that proposed estimators are more efficient than the ratio estimator and by increasing sample size efficiency of suggested estimators are improved.
机译:目前最重要的一个话题讨论了调查方法是统计或调查错误,可能的准确性在参数估计过程和发生测量误差是最重要的之一non-sampling错误。类指数和链比类型估计是下两个阶段抽样对总体均值的估计使用两个辅助变量的存在测量误差。获得了这些估计量。两个人工种群生成的检查提出了估计量的性质等估计量。计算结果显示,提出的估计比比率更有效估计量和增加样本量建议提高估计的效率。

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