Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2015-07-28

Included Journals: Scopus、CPCI-S、EI

Volume: 2015-September

Page Number: 2088-2092

Key Words: Errors in variables; nonlinear regression; kernel estimation; recursive estimation; strong consistency

Abstract: 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.