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dc.contributor.authorPardo Fernández, Juan Carlos 
dc.contributor.authorJiménez-Gamero, María Dolores
dc.contributor.authorEl Ghouch, Anouar
dc.date.accessioned2018-07-12T08:31:12Z
dc.date.available2018-07-12T08:31:12Z
dc.date.issued2015-03
dc.identifier.citationScandinavian Journal of Statistics, 42(1): 197-213 (2015)spa
dc.identifier.issn03036898
dc.identifier.urihttp://hdl.handle.net/11093/1025
dc.description.abstractThis article studies a new procedure to test for the equality of k regression curves in a fully nonparametric context. The test is based on the comparison of empirical estimators of the characteristic functions of the regression residuals in each population. The asymptotic behaviour of the test statistic is studied in detail. It is shown that under the null hypothesis the distribution of the test statistic converges to a finite combination of independent chi-squared random variables with one degree of freedom. The coefficients in this linear combination can be consistently estimated. The proposed test is able to detect contiguous alternatives converging to the null at the rate n-1/2. The practical performance of the test based on the asymptotic null distribution is investigated by means of simulations.spa
dc.language.isoengspa
dc.publisherScandinavian Journal of Statisticsspa
dc.titleA non-parametric ANOVA-type test for regression curves based on characteristic functions : an ANOVA-type test for regression curvesspa
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.1111/sjos.12102
dc.identifier.editorhttp://doi.wiley.com/10.1111/sjos.12102spa
dc.publisher.departamentoEstatística e investigación operativaspa
dc.publisher.grupoinvestigacionInferencia Estatística, Decisión e Investigación Operativaspa
dc.subject.unesco12 Matemáticasspa
dc.date.updated2018-07-10T11:36:10Z
dc.computerCitationpub_title=Scandinavian Journal of Statistics|volume=42|journal_number=1|start_pag=197|end_pag=213spa


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