Please use this identifier to cite or link to this item: https://doi.org/10.1023/A:1022423429880
Title: On the ranked-set sampling M-estimates for symmetric location families
Authors: Zhao, X.
Chen, Z. 
Keywords: Asymptotic normality
Asymptotic relative efficiency
M-estimates
Optimal sampling design
Ranked-set sampling
Robustness
Issue Date: 2002
Citation: Zhao, X., Chen, Z. (2002). On the ranked-set sampling M-estimates for symmetric location families. Annals of the Institute of Statistical Mathematics 54 (3) : 626-640. ScholarBank@NUS Repository. https://doi.org/10.1023/A:1022423429880
Abstract: The ranked-set sampling (RSS) is applicable in practical problems where the variable of interest for an observed item is costly or time-consuming but the ranking of a set of items according to the variable can be easily done without actual measurement. In this article, the M-estimates of location parameters using RSS data are studied. We deal mainly with symmetric location families. The asymptotic properties of M-estimates based on ranked-set samples are established. The properties of unbalanced ranked-set sample M-estimates are employed to develop the methodology for determining optimal ranked-set sampling schemes. The asymptotic relative efficiencies of ranked-set sample M-estimates are investigated. Some simulation studies are reported.
Source Title: Annals of the Institute of Statistical Mathematics
URI: http://scholarbank.nus.edu.sg/handle/10635/105280
ISSN: 00203157
DOI: 10.1023/A:1022423429880
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Jun 16, 2018

WEB OF SCIENCETM
Citations

1
checked on May 30, 2018

Page view(s)

23
checked on Mar 12, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.