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- W2070920981 abstract "In this note the nonparametric regression estimators of Nadaraya (1964) and Watson (1964), Priestley & Chao (1972) and Gasser & Muller (1979) are compared with respect to the boundary behaviour in the case of a fixed design. It is shown that the estimator of Nadaraya & Watson yields estimates with smaller mean squared error at the boundary in finite sample situations compared to the convolution type estimators. By a modification of the kernel function the estimator of Gasser & Muller attains a similar boundary behaviour as the Nadaraya & Watson estimator. The theoretical results are illustrated in a simulation study." @default.
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- W2070920981 date "1992-01-01" @default.
- W2070920981 modified "2023-09-26" @default.
- W2070920981 title "On the Boundary Behaviour of Nonparametric Regression Estimators" @default.
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- W2070920981 doi "https://doi.org/10.1002/bimj.4710340205" @default.
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