Ratio estimators using stratified random sampling and stratified ranked set sampling

被引：0
作者：
Monika Saini
Ashish Kumar
机构：
[1] Manipal University Jaipur,Department of Mathematics and Statistics
来源：
Life Cycle Reliability and Safety Engineering | 2019年 / 8卷 / 1期
关键词：
Finite population; Stratified random sampling; Stratified ranked set sampling; Auxiliary variable; Ratio estimator; Efficiency;
D O I：
10.1007/s41872-018-0046-8
中图分类号：
学科分类号：
摘要：
The aim of present study is to propose ratio estimators for the population mean using auxiliary information efficiently under stratified random sampling (SRS) and stratified ranked set sampling (SRSS). Here, bias and mean square error (MSE) for the proposed estimators have been obtained and find that the proposed estimator under SRSS is more efficient than the estimator under SRS. The results have been illustrated numerically through simulation study.
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页码：85 / 89
页数：4
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