Generalized variance estimators in adaptive cluster sampling using single auxiliary variable

被引：2
|
作者：
Noor-Ul-Amin, Muhammad [1 ]
Yasmeen, Uzma [2 ]
Hanif, Muhammad [3 ]
机构：
[1] COMSATS Inst Informat Technol, Lahore 54000, Pakistan
[2] 89 Saidan Shah Colony,Wazir Ali Rd Upper Mall, Lahore 54000, Pakistan
[3] Natl Coll Business Adm & Econ, Lahore 54000, Pakistan
来源：
JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS | 2018年 / 21卷 / 03期
关键词：
Adaptive cluster sampling; Ratio Estimator; Networks;
D O I：
10.1080/09720510.2017.1413045
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
This study presents generalized variance estimators utilizing the information on single auxiliary variable in adaptive cluster sampling for finite population variance. The expressions for mean square errors and biases for proposed variance estimators are obtained. The result of simulation study presents that the suggested variance estimators for adaptive cluster sampling (ACS) design are most efficient for population variance as compare to Isaki (1983) variance estimator for SRSWOR.
引用
收藏
页码：401 / 415
页数：15
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