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摘要:
In this paper, we have proposed an estimator of finite population mean using a new regression type estimator with two auxiliary variables for single-phase sampling and investigated its finite sample properties. An empirical study has been carried out to compare the performance of the proposed estimator with the existing estimators that utilize auxiliary variables for finite population mean. It has been found that the new regression type estimator with two auxiliary variables for to be more efficient than mean per unit, ratio and product estimator and exponential ratio and exponential product estimators and exponential ratio-product estimator.
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篇名 A New Regression Type Estimator with Two Auxiliary Variables for Single-Phase Sampling
来源期刊 统计学期刊(英文) 学科 数学
关键词 Regression ESTIMATOR EXPONENTIAL Ratio-Product ESTIMATOR AUXILIARY VARIABLES Mean Squared ERROR
年,卷(期) 2014,(9) 所属期刊栏目
研究方向 页码范围 789-796
页数 8页 分类号 O1
字数 语种
DOI
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研究主题发展历程
节点文献
Regression
ESTIMATOR
EXPONENTIAL
Ratio-Product
ESTIMATOR
AUXILIARY
VARIABLES
Mean
Squared
ERROR
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
统计学期刊(英文)
半月刊
2161-718X
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
584
总下载数(次)
0
总被引数(次)
0
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