Open AccessAn Improvement in Estimation of Population Mean using Two Auxiliary Variables and Two- Phase Sampling Scheme under Non-Response
Author(s) -
Manoj Kumar Chaudhary,
Amit Kumar
Publication year - 2021
Publication title -
journal of reliability and statistical studies
Language(s) - English
Resource type - Journals
eISSN - 2229-5666
pISSN - 0974-8024
DOI - 10.13052/jrss0974-8024.13247
Subject(s) - estimator , population mean , mean squared error , mathematics , statistics , sampling (signal processing) , ratio estimator , population , computer science , efficient estimator , demography , filter (signal processing) , minimum variance unbiased estimator , sociology , computer vision
In the present paper, we have proposed some improved ratio and regression-type estimators of the finite population mean utilizing the information on two auxiliary variables in the presence of non-response. The two-phase sampling scheme has been used to accomplish the job of estimating the desired parameter. The expressions for the basic properties such as bias and mean square error (MSE) of the proposed estimators have been derived up to the first order of approximation. A comparative study of the proposed estimators with some existing estimators has also been carried out through a real data set.