Open AccessImproved generalized class of estimators in estimating the finite population mean using two auxiliary variables under two-stage sampling
Author(s) -
Sohaib Ahmad,
Sardar Hussain,
Javid Shabbir,
Muhammad Aamir,
Mahmoud El-Morshedy,
Zubair Ahmad,
Sharifah Alrajhi
Publication year - 2022
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 15
ISSN - 2473-6988
DOI - 10.3934/math.2022592
Subject(s) - estimator , mathematics , class (philosophy) , sampling (signal processing) , extremum estimator , population , efficiency , statistics , sampling scheme , population mean , m estimator , computer science , artificial intelligence , demography , filter (signal processing) , sociology , computer vision
This article addresses the problem of estimating the finite population mean using two auxiliary variables under two-stage sampling scheme. Further the proposed improved class of estimators are provided their genralized form. Mathematical properties of the existing and proposed improved generalized class of estimators are derived up to first order of approximation. We identified 11 members of the improved generalized class of estimators which are more efficient than existing estimators in terms of the percentage relative efficiency. We use two real data sets under two-stage sampling to compare the performances of all of considered estimators.