An Efficient Estimation Procedure in Two-Occasion Successive Sampling

被引：0
|
作者：
G. N. Singh
A. K. Singh
机构：
[1] Indian Institute of Technology (Indian School of Mines),Department of Applied Mathematics
[2] Indian Institute of Technology (Indian School of Mines),Department of Applied Mathematics
来源：
Journal of Statistical Theory and Applications | 2017年 / 16卷 / 1期
关键词：
Successive sampling; auxiliary information; bias; mean square error; optimum replacement strategy;
D O I：
10.2991/jsta.2017.16.1.3
中图分类号：
学科分类号：
摘要：
In this paper an efficient estimation procedure to estimate the current population mean in two-occasion successive sampling has been developed. An exponential regression type estimator of current population mean is proposed and corresponding optimum replacement strategy has been suggested. The superiority of the proposed estimator is empirically established over sample mean estimator and natural successive sampling estimator. Results are interpreted and suitable recommendations have been made.
引用
收藏
页码：26 / 37
页数：11
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