Estimation of population distribution function in the presence of non-response using stratified random sampling

被引：3

作者：

Yaqub, Mazhar ^{[1
]}

Sohil, Fariha ^{[2
]}

Shabbir, Javid ^{[1
]}

Sohail, Muhammad Umair ^{[3
]}

机构：

[1] Quaid I Azam Univ, Dept Stat, Islamabad, Pakistan

[2] Women Univ, Dept Educ, Multan, Pakistan

[3] Univ Narowal, Dept Stat, Narowal 51600, Pakistan

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2024年 / 53卷 / 05期

关键词：

Absolute relative bias; Auxiliary variable; Cumulative distribution function; Mean squared error; Relative efficiency; 2 AUXILIARY VARIABLES; RATIO ESTIMATORS; FAMILY; QUANTILES;

D O I：

10.1080/03610918.2022.2078492

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 article addresses the problem of estimating the population distribution function for stratified random sampling in the presence of non-response. We suggest a generalized class of estimators for estimating the finite cumulative distribution function using the auxiliary information. Expressions for bias and mean squared error are derived up to the first order of approximation. The performance of the estimators are compared both theoretically and numerically. A real data set is used to support the theoretical findings.

引用

页码：2498 / 2526

页数：29

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