EconPapers    
Economics at your fingertips  
 

Improvement of modified ratio estimators using robust regression methods

Tolga Zaman

Applied Mathematics and Computation, 2019, vol. 348, issue C, 627-631

Abstract: The paper proposes some estimators for the population mean using robust regression methods presented in Zaman and Bulut (2018) [6] and shows that all proposed estimators more efficient than the robust ratio estimators under all conditions. This result is also supported by a numerical example.

Keywords: Ratio-type estimators; Robust regression methods; Auxiliary information; Efficiency; Simple random sampling (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300318310890
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:348:y:2019:i:c:p:627-631

DOI: 10.1016/j.amc.2018.12.037

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:348:y:2019:i:c:p:627-631