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- W2028169915 abstract "Abstract An important gap, between the classical mathematical theory and the practice and implementation of nonparametric curve estimation, is due to the fact that the usual norms on function spaces measure something different from what the eye can see visually in a graphical presentation. Mathematical error criteria that more closely follow “visual impression” are developed and analyzed from both graphical and mathematical viewpoints. Examples from wavelet regression and kernel density estimation are considered." @default.
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- W2028169915 date "1995-06-01" @default.
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- W2028169915 title "Visual Error Criteria for Qualitative Smoothing" @default.
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- W2028169915 doi "https://doi.org/10.1080/01621459.1995.10476541" @default.
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