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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/22920

    Título
    Degrees of freedom and model selection in semiparametric additive monotone regression
    Autor
    Rueda Sabater, María CristinaAutoridad UVA
    Año del Documento
    2013
    Documento Fuente
    Journal of Multivariate Analysis. Vol 117, pp: 88-99
    Zusammenfassung
    The degrees of freedom of semiparametric additive monotone models are derived using results about projections onto sums of order cones. Two important related questions are also studied, namely, the de nition of estimators for the parameter of the error term and the formulation of speci c Akaike Information Criteria statistics. Several alternatives are proposed to solve both problems and simulation experiments are conducted to compare the behavior of the di erent candidates. A new selection criterion is proposed that combines the ability to guess the model but also the e ciency to estimate the variance parameter. Finally, the criterion is used to select the model in a regression problem from a well known data set.
    Revisión por pares
    SI
    DOI
    10.1016/j.jmva.2013.02.001
    Patrocinador
    Ministerio de Ciencia e Innovación grant (MTM2012-37129)
    Version del Editor
    http://www.sciencedirect.com/science/article/pii/S0047259X13000158
    Propietario de los Derechos
    Elsevier
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/22920
    Derechos
    openAccess
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    • DEP24 - Artículos de revista [78]
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