Improved Estimators For The Population Mean Under Non-Response

被引:0
|
作者
Rather, Khalid Ul Islam [1 ]
Kadilar, Cem [2 ]
机构
[1] Div Stat & Comp Sci, Main Campus SKUAST J, Jammu 180009, India
[2] Hacettepe Univ, Dept Stat, TR-06800 Ankara, Turkiye
来源
GAZI UNIVERSITY JOURNAL OF SCIENCE | 2023年 / 36卷 / 02期
关键词
Exponential type; Estimators; Non-Response; Mean squared error; Efficiency;
D O I
10.35378/gujs.933452
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We propose a novel family of estimators for the population mean under non-response and obtain the MSE equation of the suggested estimator for each situation in theory. These theoretical conditions are applied to three popular data sets in literature and we see that the suggested estimators are more efficient than the traditional estimators, such as ratio, regression estimators, in Case 1; whereas, in Case 2, the suggested estimators are also more efficient than the Unal-Kadilar exponential estimators that are more efficient than the traditional estimators for the same data sets.
引用
收藏
页码:920 / 931
页数:12
相关论文
共 50 条