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We consider theoretical bootstrap "coupling" techniques for nonparametric robust smoothers and quantile regression, and … verify the bootstrap improvement. To cope with curse of dimensionality, a variant of "coupling" bootstrap techniques are …. Our bootstrap method can be used in many situations like constructing con dence intervals and bands. We demonstrate the …
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Stuetzle and Mittal (1979) for ordinary nonparametric kernel regression and Kauermann and Tutz (1996) for nonparametric generalized linear model kernel regression constructed estimators with lower order bias than the usual estimators, without the need for devices such as second derivative...
Persistent link: https://www.econbiz.de/10010310781
We consider theoretical bootstrap coupling techniques for nonparametric robust smoothers and quantile regression, and … verify the bootstrap improvement. To cope with curse of dimensionality, a variant of coupling bootstrap techniques are …. Our bootstrap method can be used in many situations like constructing con dence intervals and bands. We demonstrate the …
Persistent link: https://www.econbiz.de/10010331127
Stuetzle and Mittal (1979) for ordinary nonparametric kernel regression and Kauermann and Tutz (1996) for nonparametric generalized linear model kernel regression constructed estimators with lower order bias than the usual estimators, without the need for devices such as second derivative...
Persistent link: https://www.econbiz.de/10010983807
the two sample inference for FPCA and develop two sample theory. We propose bootstrap tests for testing the equality of …
Persistent link: https://www.econbiz.de/10005677915