A Class of Exponential Regression Type Estimators for Population Variance in Two-Phase Sampling

被引：0
|
作者：
A. Chatterjee
G. N. Singh
A. Bandyopadhyay
机构：
[1] Mallabhum Institute of Technology,Department of Mathematics
[2] Indian School of Mines,Department of Applied Mathematics
[3] Asansol Engineering College,Department of Mathematics
来源：
Journal of Statistical Theory and Applications | 2017年 / 16卷 / 4期
关键词：
Double sampling; study variable; auxiliary variable; chain-type; Exponential; regression; bias; variance; efficiency; 62D05;
D O I：
10.2991/jsta.2017.16.4.10
中图分类号：
学科分类号：
摘要：
This article deals with the problems of efficient estimation of population variance in two-phase (double) sampling. Using information on two auxiliary variables, a class of chain exponential to regression type estimators has been proposed and its properties are studied under two different structures of two-phase sampling. Superiority of suggested class of estimators over some existing ones is established through numerical illustrations. Suitable recommendations to the survey statistician are also made.
引用
收藏
页码：565 / 575
页数：10
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