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Improved chain-ratio type estimator for population total in double sampling
Mathematical Population Studies ( IF 1.8 ) Pub Date : 2019-06-19 , DOI: 10.1080/08898480.2019.1626635
Saurav Guha 1 , Hukum Chandra 1
Affiliation  

ABSTRACT Chain-ratio estimators are often used to improve the efficiency of the estimation of the population total or the mean using two auxiliary variables, available in two different phases. An improved chain-ratio estimator for the population total based on double sampling is proposed when auxiliary information is available for the first variable and not available for the second variable. The bias and the mean square error of this estimator are obtained for a large sample. Empirical evaluations using both model-based and design-based simulations show that the proposed estimator performs better than the ratio, the regression, and the difference estimators.

中文翻译:

改进的双抽样总体总链比型估计器

摘要 链比估计器通常用于提高估计总体总数或使用两个不同阶段可用的两个辅助变量的均值的效率。当辅助信息对第一个变量可用而对第二个变量不可用时,提出了一种基于双抽样的总体总体链比估计器的改进方法。该估计量的偏差和均方误差是针对大样本获得的。使用基于模型和基于设计的模拟的实证评估表明,所提出的估计量比比率、回归和差异估计量表现得更好。
更新日期:2019-06-19
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