Properties of the GAR(1) model for time series of counts

Karioti, V; Caroni, C

dc.contributor.author	Karioti, V	en
dc.contributor.author	Caroni, C	en
dc.date.accessioned	2014-03-01T01:55:27Z
dc.date.available	2014-03-01T01:55:27Z
dc.date.issued	2006	en
dc.identifier.issn	15389472	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27737
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-33748924135&partnerID=40&md5=2c739a090cea8d7b742aee5cbb939383	en
dc.subject	Count data	en
dc.subject	GAR(1)	en
dc.subject	GARMA	en
dc.subject	Residuals	en
dc.subject	Time series	en
dc.title	Properties of the GAR(1) model for time series of counts	en
heal.type	journalArticle	en
heal.publicationDate	2006	en
heal.abstract	Models for time series count data include several proposed by Zeger and Qaqish (1988), subsequently generalized into the GARMA family. The GAR(1) model is examined in detail. The maximum likelihood estimation of the parameters will be discussed and the properties of Pearson and randomized residuals will be examined. Copyright © 2006 JMASM, Inc.	en
heal.journalName	Journal of Modern Applied Statistical Methods	en
dc.identifier.volume	5	en
dc.identifier.issue	1	en
dc.identifier.spage	139	en
dc.identifier.epage	151	en