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论文类型：会议论文

发表时间：2015-07-28

收录刊物：EI、CPCI-S、Scopus

卷号：2015-September

页面范围：2088-2092

关键字：Errors in variables; nonlinear regression; kernel estimation; recursive estimation; strong consistency

摘要：Recursive estimation for nonparametric regression with errors in variables is considered in this paper. Based on the deconvolution kernel, recursive estimate for the regression function is given. Strong consistency is established when observation noises are ordinary smooth or supper smooth. Finally a numerical simulation is provided to justify the theoretical analysis.