Estimation of mean using double sampling the non-respondents with known and unknown variance

被引:4
|
作者
Sinha, Raghaw Raman [1 ]
Kumar, Vinod [1 ]
机构
[1] Dr B R Ambedkar Natl Inst Technol, Dept Math, Jalandhar, India
关键词
mean; bias; mean square error; known and unknown variance; incomplete information;
D O I
10.1504/IJCSM.2015.072963
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The objective of this article is to suggest improved classes of estimators for estimating the population mean using known and unknown variance of study character under incomplete information to improve the efficiency of the usual unbiased estimator suggested by Hansen and Hurwitz (1946). The expressions for bias and mean square error of the proposed classes of estimators are obtained up to the terms of order (n-2) under large sample approximation. Several sub-classes of estimators are introduced and their properties are studied. A comparative study of the suggested classes of estimators is carried out with an empirical study based on real dataset of census handbook published by Government of India.
引用
收藏
页码:442 / 458
页数:17
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