Homogeneity test for functional data based on depth measures

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dc.contributor.author Flores Díaz, Ramón Jesús
dc.contributor.author Lillo Rodríguez, Rosa Elvira
dc.contributor.author Romo Urroz, Juan
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned 2014-02-03T13:25:17Z
dc.date.available 2014-02-03T13:25:17Z
dc.date.issued 2014-01
dc.identifier.uri http://hdl.handle.net/10016/18192
dc.description.abstract In the context of functional data analysis, we propose a new method to test the homogeneity of families of functions. Based on some well-known depth measures, we construct four different statistics in order to measure distance between the two families. A simulation study is performed to check the efficiency of the testswhen confronted with shape and magnitude perturbation. Finally, we apply these tools to measure the homogeneity in some families of real data, obtaining good results for these new methods.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries 14-01
dc.relation.ispartofseries UC3M Working papers. Statistics and Econometrics Series
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other FDA
dc.subject.other Homogeneity test
dc.subject.other Functional depth
dc.title Homogeneity test for functional data based on depth measures
dc.type workingPaper
dc.rights.accessRights openAccess
dc.type.version submitedVersion
dc.identifier.uxxi DT/0000001148
dc.identifier.repec ws140101
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