On asymptotic distribution of maxima of stationary sequences subject to random failure or censoring
C.Y. Robert
Statistics & Probability Letters, 2010, vol. 80, issue 2, 134-142
Abstract:
The observed extremes of a stationary sequence subject to random failure or censoring depend on the failure or censoring mechanism and may differ in an important way with the extremes of the stationary sequence itself. In this work we develop theoretical results which show how to take into account the effects of the random failures or censorships on the maximum of a sample from a stationary sequence.
Date: 2010
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(09)00369-1
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:80:y:2010:i:2:p:134-142
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 ().