MODIFIED REGRESSION-TYPE ESTIMATOR IN TWO-PHASE SAMPLING USING ARBITRARY PROBABILITIES

被引：0
|
作者：
Kamal, Asifa [1 ]
Shahbaz, Muhammad Qaiser [2 ]
Hanif, Muhammad [3 ]
机构：
[1] Lahore Coll Women Univ, Dept Stat, Lahore, Pakistan
[2] COMSATS Inst Informat Technol, Dept Math, Lahore, Pakistan
[3] Lahore Univ Management Sci, Dept Math, Lahore, Pakistan
来源：
PAKISTAN JOURNAL OF STATISTICS | 2009年 / 25卷 / 02期
关键词：
Two-phase sampling; auxiliary variable; measure of size; arbitrary probabilities; regression-type estimator; SIZE;
D O I：
暂无
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：
A modified regression-type estimator has been constructed for two-phase sampling using two auxiliary variables w, x and a measure of size z. The estimator has been developed by using probability proportional to a measure of size with replacement at first phase and equal probability sampling without replacement at the second phase. The mean square error of the modified estimator has been derived under arbitrary probabilities of selection. An empirical study has been made of the performance of new estimator with Roy's estimator (2003).
引用
收藏
页码：141 / 147
页数：7
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