Nonparametric checks for single-index models

dc.creatorStute, Winfried
dc.creatorZhu, Li-Xing
dc.date2005-07-21
dc.date.accessioned2026-07-07T08:07:03Z
dc.date.available2026-07-07T08:07:03Z
dc.descriptionIn this paper we study goodness-of-fit testing of single-index models. The large sample behavior of certain score-type test statistics is investigated. As a by-product, we obtain asymptotically distribution-free maximin tests for a large class of local alternatives. Furthermore, characteristic function based goodness-of-fit tests are proposed which are omnibus and able to detect peak alternatives. Simulation results indicate that the approximation through the limit distribution is acceptable already for moderate sample sizes. Applications to two real data sets are illustrated.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053605000000020 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/0507416
dc.identifierhttp://arxiv.org/abs/math/0507416
dc.identifierAnnals of Statistics 2005, Vol. 33, No. 3, 1048-1083
dc.identifierdoi:10.1214/009053605000000020
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130813
dc.subjectStatistics Theory
dc.subject62H15, 62G08, 62E17. (Primary)
dc.titleNonparametric checks for single-index models
dc.typetext

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