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• W2073614622 abstract "This paper studies estimation in semi-functional linear regression. A general formulation is used to treat mean regression, median regression, quantile regression and robust mean regression in one setting. The linear slope function is estimated by the functional principal component basis and the nonparametric component is approximated by a B-spline function. The global convergence rates of the estimators of unknown slope function and nonparametric component are established under suitable norm. The convergence rate of the mean-squared prediction error for the proposed estimators is also established. Finite sample properties of our procedures are studied through Monte Carlo simulations. A real data example about Berkeley growth data is used to illustrate our proposed methodology." @default.
• W2073614622 created "2016-06-24" @default.
• W2073614622 creator A5028398394 @default.
• W2073614622 date "2014-11-20" @default.
• W2073614622 modified "2023-09-26" @default.
• W2073614622 title "Estimation for semi-functional linear regression" @default.
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• W2073614622 doi "https://doi.org/10.1080/02331888.2014.979827" @default.
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