A note on the extremes of a particular moving average count data model
Andreia Hall and
Orlando Moreira
Statistics & Probability Letters, 2006, vol. 76, issue 2, 135-141
Abstract:
In this note we present a study of the extremal properties of a particular moving average count data model introduced by McKenzie (1986) [Auto regressive-moving-average processes with negative binomial and geometric marginal distribution. Adv. Appl. Probab. 18, 679-705]. After verifying appropriate dependence conditions, we show that the distribution of the maximum term has the same limiting behaviour as if the sequence was independent and identically distributed. A simulation study illustrates the results.
Keywords: Extreme; value; theory; Discrete; stationary; sequences; Binomial; thinning (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(05)00267-1
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:76:y:2006:i:2:p:135-141
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 ().