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- W1660543357 abstract "We discuss nonparametric estimation of conditional quantiles of a circular distribution when the conditioning variable is either linear or circular. Two different approaches are pursued: inversion of a conditional distribution function estimator, and minimization of a smoothed check function. Local constant and local linear versions of both estimators are discussed. Simulation experiments and a real data case study are used to illustrate the usefulness of the methods." @default.
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- W1660543357 date "2016-03-01" @default.
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- W1660543357 title "Nonparametric circular quantile regression" @default.
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- W1660543357 doi "https://doi.org/10.1016/j.jspi.2015.08.004" @default.
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