Open AccessA generalized exponential-type estimator for population mean using auxiliary attributes
Author(s) -
Sohail Ahmad,
Muhammad Arslan,
Aamna Khan,
Javid Shabbir
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0246947
Subject(s) - estimator , mean squared error , simple random sample , stratified sampling , mathematics , statistics , population mean , population , ratio estimator , efficient estimator , minimum variance unbiased estimator , demography , sociology
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.