Volume 18, Issue 1, March 2019, Pages 12 - 25
A Family of Ratio Estimators in Stratified Random Sampling Utilizing Auxiliary Attribute Along Side the Nonresponse Issue
Authors
Usman Shahzad1, *, Muhammad Hanif1, Nursel Koyuncu2, *, A. V. Garcia Luengo3
1Department of Mathematics and Statistics, PMAS-Arid Agriculture University, Rawalpindi, Pakistan
2Department of Statistics, University of Hacettepe, Ankara, Turkey
3Department of Mathematics, University of Almeria, Almeria, Spain
*Corresponding authors. Email: nkoyuncu@hacettepe.edu.tr; usman.stat@yahoo.com
Corresponding Authors
Usman Shahzad, Nursel Koyuncu
Received 7 April 2017, Accepted 28 March 2018, Available Online 22 April 2019.
- DOI
- 10.2991/jsta.d.190306.002How to use a DOI?
- Keywords
- Nonresponse; stratified random sampling; attribute
- Abstract
This article proposes some estimators based on an adaptation of the estimators developed by Bahl and Tuteja [1], Diana [2], Koyuncu and Kadilar [3], Koyuncu and Kadilar [4], Shabbir and Gupta [5], and Koyuncu [6] utilizing available supplementry attributes. Further, a new family of estimators is also developed by adapting Koyuncu [7] and Koyuncu [6]. Under stratified sampling scheme along side the nonresponse issue, the expressions for the the mean square errors (MSEs) of the adapted and proposed estimators have been determined. These theoretical findings are demonstrated by a numerical illustration with original data set.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Download article (PDF)
View full text (HTML)
Cite this article
TY - JOUR AU - Usman Shahzad AU - Muhammad Hanif AU - Nursel Koyuncu AU - A. V. Garcia Luengo PY - 2019 DA - 2019/04/22 TI - A Family of Ratio Estimators in Stratified Random Sampling Utilizing Auxiliary Attribute Along Side the Nonresponse Issue JO - Journal of Statistical Theory and Applications SP - 12 EP - 25 VL - 18 IS - 1 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.d.190306.002 DO - 10.2991/jsta.d.190306.002 ID - Shahzad2019 ER -