Extrema of skewed stable processes
Gennady Samorodnitsky
Stochastic Processes and their Applications, 1988, vol. 30, issue 1, 17-39
Abstract:
We study extremes of (generally) skewed stable processes. In particular we find the asymptotic behavior of the distribution function of the order statistics from a (dependent) stable sample. We give necessary conditions for a.s. boundedness of general stable processes. These conditions turn out to be sufficient when 0
Keywords: stable; processes; stable; random; measures; integral; representation; order; statistics; boundedness; supremum; distribution (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(88)90074-9
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:spapps:v:30:y:1988:i:1:p:17-39
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().