A Generalized Class of Estimators for Estimating Population Mean in the Presence of Non-Response

被引:0
|
作者
Iram Saleem
Aamir Sanaullah
Muhammad Hanif
机构
[1] National College of Business Administration and Economics,Department of Statistics
[2] COMSATS Institute of Information and Technology,Department of Statistics
来源
关键词
Auxiliary variable; Mean square error; Non-response; Stratified random sampling; 22E46; 53C35; 57S20;
D O I
10.2991/jsta.2018.17.4.4
中图分类号
学科分类号
摘要
Koyuncu and Kadilar proposed an estimator based on single auxiliary variable with complete response in stratified random sampling. In this paper, we extended Koyuncu and Kadilar’s estimator to a more generalized class of estimators using two-auxiliary variables in stratified random sampling for the situation of non-response and further introduced its another improved generalized class of estimators. The mathematical conditions under which proposed class of estimators are efficient as compare to Hansen and Hurwtiz estimator, and ratio estimators modified for stratified sampling have been derived. An empirical study has also been carried out to examine the performance of the suggested estimators.
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页码:616 / 626
页数:10
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