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

页码：565 / 575

页数：10

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