Efficient rotation pattern in two-phase sampling

被引：0
|
作者：
Bandyopadhyay A. [1 ]
Singh G.N. [2 ]
机构：
[1] Department of Mathematics, Asansol Engineering College, Asansol
[2] Department of Applied Mathematics, Indian School of Mines, Dhanbad
来源：
International Journal of Computational Intelligence Systems | 2017年 / 16卷 / 02期
关键词：
Auxiliary variables; Bias; Chain-type; Exponential; Mean square error; Optimum replacement policy; Regression; Successive sampling; Two-phase;
D O I：
10.2991/JSTA.2017.16.2.10
中图分类号：
学科分类号：
摘要：
The present investigation is an attempt to estimate the population mean on current occasion in two-phase successive (rotation) sampling over two occasions. Utilizing information on two auxiliary variables one chain-type estimator has been proposed to estimate the population mean on the current occasion. Properties of the proposed estimator have been studied and its optimum replacement strategy is discussed. The proposed estimator has been compared with sample mean estimator when there is no matching and the natural optimum estimator, which is a linear combination of the means of the matched and unmatched portions of the sample on the current occasion. Results are demonstrated through empirical studies which are followed by suitable recommendations. © 2017, the Authors. Published by Atlantis Press.
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页码：261 / 268
页数：7
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