TY - JOUR
T1 - Mean estimation using an efficient class of estimators based on simple random sampling
T2 - Simulation and applications
AU - Kumar, Anoop
AU - Siddiqui, Asra Sayeed
AU - Mustafa, Manahil Sid Ahmed
AU - Hussam, Eslam
AU - Aljohani, Hassan M.
AU - Almulhim, Fatimah A.
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/3
Y1 - 2024/3
N2 - In this article, we offer simple random sampling (SRS) based efficient class of estimators of population mean Y¯ utilizing additional information. The expression of the mean square error of the proposed class of estimators is deduced up to first degree approximation. The efficiency conditions are established which are enhanced numerically utilizing a simulation study consummated over symmetrical and asymmetrical populations. Real data sets are also utilized to exemplify the suggested estimators. The numerical findings are appeared rather acceptable demonstrating better advancement over the ordinary estimators.
AB - In this article, we offer simple random sampling (SRS) based efficient class of estimators of population mean Y¯ utilizing additional information. The expression of the mean square error of the proposed class of estimators is deduced up to first degree approximation. The efficiency conditions are established which are enhanced numerically utilizing a simulation study consummated over symmetrical and asymmetrical populations. Real data sets are also utilized to exemplify the suggested estimators. The numerical findings are appeared rather acceptable demonstrating better advancement over the ordinary estimators.
KW - Efficiency
KW - Mean square error
KW - Population mean
KW - Simple random sampling
UR - http://www.scopus.com/inward/record.url?scp=85185483922&partnerID=8YFLogxK
U2 - 10.1016/j.aej.2024.02.003
DO - 10.1016/j.aej.2024.02.003
M3 - Article
AN - SCOPUS:85185483922
SN - 1110-0168
VL - 91
SP - 197
EP - 203
JO - Alexandria Engineering Journal
JF - Alexandria Engineering Journal
ER -