Improved Estimators of Population Mean under Nonresponse in Successive Sampling

被引：0
|
作者：
Sharma, Prayas [1 ]
Pal, Surya K. [2 ]
Singh, Housila P. [3 ]
机构：
[1] Indian Inst Management Sirmaur, Decis Sci, Sirmaur, Himachal Prades, India
[2] Sharda Univ, Sch Basic Sci & Res, Dept Math, Greater Noida 201310, Uttar Pradesh, India
[3] Vikram Univ, Sch Studies Stat, Ujjain, India
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2022年 / 2022卷
关键词：
NON RESPONSE; REGRESSION;
D O I：
10.1155/2022/1349689
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
It is well accepted that suitable additional information improves the efficiency of an estimator but at the same time, it faced the situation of nonresponse. The two-occasion successive sampling is useful to handle the absence of a full response from respondents. In this present study, we have developed exponential estimators for population mean using a subsampling nonrespondent procedure. To show the efficacy of the recommended estimators, several properties are derived, and respective optimum replacement strategies are inferred. To evaluate the performance of the recommended estimators empirically, a computational study is carried out as well. It was found that the recommended estimators outperform the existing ones under the nonresponse in successive sampling.
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页数：8
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