GENERALIZED REGRESSION-CUM-RATIO ESTIMATORS FOR TWO-PHASE SAMPLING USING MULTI-AUXILIARY VARIABLES

被引：0

作者：

Ahmad, Zahoor ^{[1
]}

Hanif, Muhammad ^{[2
]}

Ahmad, Munir ^{[3
]}

机构：

[1] Univ Gujrat, Gujrat, Pakistan

[2] Lahore Univ Management Sci, Lahore, Pakistan

[3] Natl Coll Business Adm & Econ, Lahore, Pakistan

来源：

PAKISTAN JOURNAL OF STATISTICS | 2009年 / 25卷 / 02期

关键词：

Regression-cum-ratio estimator; two-phase sampling; auxiliary variable; MULTIVARIATE RATIO; FINITE POPULATIONS; INFORMATION;

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：

In this paper we suggest three classes of regression-cum-ratio estimators for estimating population mean of variable of interest for two-phase sampling using multi-auxiliary variables for full information, partial information and no information cases. The expressions for mean square errors are derived. Theoretical comparison is given. Special cases of estimators are also identified.

引用

页码：93 / 106

页数：14

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