AN EFFICIENT GENERAL FAMILY OF ESTIMATORS FOR POPULATION MEANS IN SAMPLING WITH NON-RESPONSE

MATTER: International Journal of Science and Technology

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Field Value
 
Title AN EFFICIENT GENERAL FAMILY OF ESTIMATORS FOR POPULATION MEANS IN SAMPLING WITH NON-RESPONSE
 
Creator Lawson, Nuanpan
Rachokarn, Thanapanang
Charurotkeerati, Thitanont
 
Subject Family of Estimators
Auxiliary Variable
Non-Response
Mean Square Error
 
Description In estimating population means for a study variable from random sampling, it is often possible to reduce the bias and improve the efficiency of estimators by including known data on an auxiliary variable which is correlated with the study variable. Non-response is a common problem that occurs when estimating values of variables by random sampling as it can increase the bias and reduce the efficiency of estimators. In this paper, we propose a new family of estimators for population means of a study variable when non-response occurs in the sampling of the study variable and when information on an auxiliary variable is either known or can be obtained by non-response sampling. The asymptotic properties of the proposed estimators such as bias, mean square error (MSE), and minimum mean square error have been derived up to a first order approximation. A numerical study of the new estimators shows that they are more efficient than other existing estimators. Article DOI: https://dx.doi.org/10.20319/mijst.2018.42.0111 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
 
Publisher GRDS Publishing
 
Date 2018-07-14
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://grdspublishing.org/index.php/matter/article/view/1380
 
Source MATTER: International Journal of Science and Technology; Vol 4 No 2 (2018): Regular Issue
2454-5880
 
Language eng
 
Relation https://grdspublishing.org/index.php/matter/article/view/1380/1165
 
Rights Copyright (c) 2018 Author(s)
 

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