Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/51441
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dc.contributor.authorGao, J.-
dc.contributor.authorHong, Y.-
dc.date.issued2008-
dc.identifier.citationJournal of Nonparametric Statistics, 2008; 20(1):61-76-
dc.identifier.issn1048-5252-
dc.identifier.issn1029-0311-
dc.identifier.urihttp://hdl.handle.net/2440/51441-
dc.description.abstractIn this paper, we establish some new central limit theorems for generalized U-statistics of dependent processes under some mild conditions. Such central limit theorems complement existing results available from both the econometrics literature and statistics literature.We then look at applications of the established results to a number of test problems in time series regression models.-
dc.description.statementofresponsibilityJiti Gao andYongmiao Hong-
dc.language.isoen-
dc.publisherGordon Breach Sci Publ Ltd-
dc.source.urihttp://dx.doi.org/10.1080/10485250801899596-
dc.subjectcentral limit theorem-
dc.subjectnonparametric specification-
dc.subjectquadratic form-
dc.subjectstrict stationarity-
dc.subjectstochastic process-
dc.titleCentral limit theorems for generalized U-statistics with applications in nonparametric specification-
dc.typeJournal article-
dc.identifier.doi10.1080/10485250801899596-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest
Economics publications

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