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- W2375363642 abstract "This paper gives a new kernel estimate, bandwidth parameter and the bias-corrected confidence belt for nonparametric regression curve. The aim is to select bandwidth and set up the confidence belt with the estimate of this regression-curve. The precision of new estimate is better than Priestley-chao Kernel estimate clearly, the new technique of selecting bandwidth is easier than the rule of ascertaining generalized crossing for counting; This kind of bias-correction confidence belt is more excellent than the regression-curve of Bonferroni-type. Using this way to set up bias-correction confidence belt is driven with data completely, and has not any additive regulating parameter, it is very effective in practical application." @default.
- W2375363642 created "2016-06-24" @default.
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- W2375363642 date "2006-01-01" @default.
- W2375363642 modified "2023-09-23" @default.
- W2375363642 title "Kernel estimate and bandwidth parameter selection" @default.
- W2375363642 hasPublicationYear "2006" @default.
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