Karhunen-loève basis in goodness-of-fit tests decomposition: an evaluation

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dc.contributor.author Grané, Aurea
dc.contributor.author Fortiana, Josep
dc.date.accessioned 2006-11-09T10:59:40Z
dc.date.available 2006-11-09T10:59:40Z
dc.date.issued 2006-04
dc.identifier.uri http://hdl.handle.net/10016/241
dc.description.abstract In a previous paper (Grané and Fortiana 2006) we studied a flexible class of goodness-of-fit tests associated with an orthogonal sequence, the Karhunen-Loève decomposition of a stochastic process derived from the null hypothesis. Generally speaking, these tests outperform Kolmogorov-Smirnov and Cramér-von Mises, but we registered several exceptions. In this work we investigate the cause of these anomalies and, more precisely, whether and when such poor behaviour may be attributed to the orthogonal sequence itself, by replacing it with the Legendre polynomials, a commonly used basis for smooth tests. We find an easily computable formula for the Bahadur asymptotic relative efficiency, a helpful quantity in choosing an adequate basis.
dc.format.extent 259025 bytes
dc.format.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.relation.ispartofseries UC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries 2006-10
dc.title Karhunen-loève basis in goodness-of-fit tests decomposition: an evaluation
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.identifier.repec ws062710
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