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Smooth Residual Bootstrap for Empirical Processes of Non-parametric Regression Residuals

机译:非参数回归残差的经验过程的光滑残差自举

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摘要

The aim of this paper is to prove the validity of smooth residual bootstrap versions of procedures that are based on the empirical process of residuals estimated from a non-parametric regression model. From this result, consistency of various model tests in non-parametric regression is deduced, such as goodness-of-fit tests for the regression and variance function, tests for equality of regression functions and tests concerning the error distribution.
机译:本文的目的是证明基于非参数回归模型估计的残差经验过程的平滑残差自举程序版本的有效性。从该结果得出非参数回归中各种模型检验的一致性,例如回归和方差函数的拟合优度检验,回归函数的相等性检验以及与误差分布有关的检验。

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