Testing for a linear MA model against threshold MA models

dc.creatorLing, Shiqing
dc.creatorTong, Howell
dc.date2006-03-02
dc.date.accessioned2026-07-07T08:07:36Z
dc.date.available2026-07-07T08:07:36Z
dc.descriptionThis paper investigates the (conditional) quasi-likelihood ratio test for the threshold in MA models. Under the hypothesis of no threshold, it is shown that the test statistic converges weakly to a function of the centred Gaussian process. Under local alternatives, it is shown that this test has nontrivial asymptotic power. The results are based on a new weak convergence of a linear marked empirical process, which is independently of interest. This paper also gives an invertible expansion of the threshold MA models.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053605000000598 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0603040
dc.identifierhttp://arxiv.org/abs/math/0603040
dc.identifierAnnals of Statistics 2005, Vol. 33, No. 6, 2529-2552
dc.identifierdoi:10.1214/009053605000000598
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130987
dc.subjectStatistics Theory
dc.subject62F05, 62M10 (Primary) 60G10 (Secondary)
dc.titleTesting for a linear MA model against threshold MA models
dc.typetext

Files

Collections