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- W2077609211 abstract "This study compares parametric and nonparametric quantile regression methods using Monte Carlo simulations. Simulation results indicate that the nonparametric quantile regression approach is more appropriate, particularly when the underlying model is nonlinear or the error term follows a non-normal distribution." @default.
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- W2077609211 date "2004-02-10" @default.
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- W2077609211 title "A Monte Carlo comparison of parametric and nonparametric quantile regressions" @default.
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- W2077609211 doi "https://doi.org/10.1080/1350485042000200132" @default.
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