EconPapers    
Economics at your fingertips  
 

Estimating asymptotic variance of M-estimators in ranked set sampling

M. Mahdizadeh () and Ehsan Zamanzade ()
Additional contact information
M. Mahdizadeh: Hakim Sabzevari University
Ehsan Zamanzade: University of Isfahan

Computational Statistics, 2020, vol. 35, issue 4, No 12, 1785-1803

Abstract: Abstract M-estimator for symmetric location families in ranked set sampling has been studied in the literature. Estimating asymptotic variance of this estimator has not been addressed yet. To fill this gap, we develop two consistent estimators in this article. The proposed estimators are then utilized to construct confidence intervals for the location parameter. Monte Carlo simulations are employed to assess performance of the intervals. Finally, an empirical study is presented for illustration.

Keywords: Judgment ranking; M-estimation; Robustness (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s00180-019-00946-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:compst:v:35:y:2020:i:4:d:10.1007_s00180-019-00946-3

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2

DOI: 10.1007/s00180-019-00946-3

Access Statistics for this article

Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:compst:v:35:y:2020:i:4:d:10.1007_s00180-019-00946-3