Testing for independence in heavy-tailed time series using the codifference function
Dedi Rosadi
Computational Statistics & Data Analysis, 2009, vol. 53, issue 12, 4516-4529
Abstract:
In this paper, we consider a Portmanteau-type test of randomness for symmetric [alpha] stable random variables with exponent 0
Date: 2009
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/S0167-9473(09)00254-0
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:csdana:v:53:y:2009:i:12:p:4516-4529
Access Statistics for this article
Computational Statistics & Data Analysis is currently edited by S.P. Azen
More articles in Computational Statistics & Data Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().