A Note on the Bickel-Rosenblatt Test in Autoregressive Time Series

dc.contributor.authorBachmann, Dirkde
dc.contributor.authorDette, Holgerde
dc.date.accessioned2004-12-06T18:39:05Z
dc.date.available2004-12-06T18:39:05Z
dc.date.issued2004de
dc.description.abstractIn a recent paper Lee and Na (2001) introduced a test for a parametric form of the distribution of the innovations in autoregressive models, which is based on the integrated squared error of the nonparametric density estimate from the residuals and a smoothed version of the parametric fit of the density. They derived the asymptotic distribution under the null-hypothesis, which is the same as for the classical Bickel-Rosenblatt (1973) test for the distribution of i.i.d. observations. In this note we first extend the results of Bickel and Rosenblatt to the case of fixed alternatives, for which asymptotic normality is still true but with a different rate of convergence. As a by-product we also provide an alternative proof of the Bickel and Rosenblatt result under substantially weaker assumptions on the kernel density estimate. As a further application we derive the asymptotic behaviour of Lee and Na’s statistic in autoregressive models under fixed alternatives. The results can be used for the calculation of the probability of the type II error of the Bickel-Rosenblatt test for the parametric form of the error distribution and for testing interval hypotheses in this context.en
dc.format.extent115836 bytes
dc.format.extent254725 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/4888
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-6921
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectautoregressive processen
dc.subjectgoodness-of-fit testen
dc.subjectnonparametric density estimationen
dc.subjectasymptotic distribution under fixed alternativesen
dc.subject.ddc310de
dc.titleA Note on the Bickel-Rosenblatt Test in Autoregressive Time Seriesen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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