Open AccessA Class of Estimator for Population Mean Under SRS
Author(s) -
Syed Abdul Rehman,
Muhammad Asif
Publication year - 2020
Publication title -
statistics, computing and interdisciplinary research
Language(s) - English
Resource type - Journals
eISSN - 2788-7464
pISSN - 2707-7101
DOI - 10.52700/scir.v2i1.7
Subject(s) - estimator , mean squared error , population mean , mathematics , class (philosophy) , statistics , minimum mean square error , degree (music) , computer science , artificial intelligence , physics , acoustics
In this paper we propose a class of estimators for the estimation of finitepopulation mean using the auxiliary information when SRS scheme is used. Theexpressions for the Bias and mean square error (MSE) of the existing andsuggested class of estimators are derived up to first degree of approximation andthe efficiency comparison of suggested class of estimators is made with otherexisting estimators, using both theoretically and numerically based on realpopulation sets.