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Joel Boularan Louis Ferre Philippe Vieu 《Australian & New Zealand Journal of Statistics》1995,37(2):161-168
In the random-design non-parametric regression model, the locations of particular values of the regression function or its derivatives are estimated. This paper investigates several stochastic modes of convergence and finds their rate of convergence under regularity assumptions, for a wide class of non-parametric estimators. The approach finds two natural fields of application: estimation of zeros/extrema and non-parametric absolute calibration. 相似文献
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