A generalized exponential-type estimator for population mean using auxiliary attributes

被引：19

作者：

Ahmad, Sohail ^{[1
]}

Arslan, Muhammad ^{[2
]}

Khan, Aamna ^{[3
]}

Shabbir, Javid ^{[1
]}

机构：

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

[2] Shanxi Univ Finance & Econ, Sch Stat, Taiyuan, Peoples R China

[3] Bahauddin Zakariya Univ, Dept Stat, Multan, Pakistan

来源：

PLOS ONE | 2021年 / 16卷 / 05期

关键词：

CRASH RATES; RATIO;

D O I：

10.1371/journal.pone.0246947

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, we propose a generalized class of exponential type estimators for estimating the finite population mean using two auxiliary attributes under simple random sampling and stratified random sampling. The bias and mean squared error (MSE) of the proposed class of estimators are derived up to first order of approximation. Both empirical study and theoretical comparisons are discussed. Four populations are used to support the theoretical findings. It is observed that the proposed class of estimators perform better as compared to all other considered estimator in simple and stratified random sampling.

引用

页数：29

共 20 条

[1]

Bahl S., 1991, Information and Optimization Sciences, V12, P159, DOI [10.1080/02522667.1991.10699058, DOI 10.1080/02522667.1991.10699058]

[2]

Dalabehera M, STATISTICA, V59, P101

[3] Tax interactions among Belgian municipalities: Do interregional differences matter? [J].