Asymptotic properties of location estimators based on projection depth
Jeankyung Kim and
Jinsoo Hwang
Statistics & Probability Letters, 2001, vol. 55, issue 3, 293-299
Abstract:
We study asymptotic properties of location estimators based on the projection depth. A rigorous proof of the limiting distribution of projection median is provided using the result of Bai and He (Ann. Statist. 27 (1999) 1616) under a general setting. The rates of convergence of the trimmed mean and a metrically trimmed mean are obtained.
Keywords: Projection; depth; Projection; median; Rates; of; convergence; Asymptotic; distribution; Trimmed; mean; Metrically; trimmed; mean (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(01)00152-3
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:stapro:v:55:y:2001:i:3:p:293-299
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().