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    Local linear additive quantile regression

    Access Status
    Fulltext not available
    Authors
    Yu, K.
    Lu, Zudi
    Date
    2004
    Type
    Journal Article
    
    Metadata
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    Citation
    Yu, Keming and Lu, Zudi. 2004. Local linear additive quantile regression. Scandinavian Journal of Statistics. 31 (3): pp. 333-346.
    Source Title
    Scandinavian Journal of Statistics
    DOI
    10.1111/j.1467-9469.2004.03_035.x
    ISSN
    0303-6898
    Faculty
    School of Science and Computing
    Department of Mathematics and Statistics
    Faculty of Science and Engineering
    URI
    http://hdl.handle.net/20.500.11937/30782
    Collection
    • Curtin Research Publications
    Abstract

    We consider non-parametric additive quantile regression estimation by kernel-weighted local linear fitting. The estimator is based on localizing the characterization of quantile regression as the minimizer of the appropriate 'check function'. A backfitting algorithm and aheuristic rule for selecting the smoothing parameter are explored. We also study the estimation of average-derivative quantile regression under the additive model. The techniques are illustrated by a simulated example and a real data set.

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