Author： Qin Xu Zhang Jiang-She Yan Xiao-Dong
Publisher： Taylor & Francis Ltd
ISSN： 0361-0926
Source： Communications in Statistics: Theory and Methods, Vol.40, Iss.21, 2011-11, pp. : 3812-3823
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Abstract
We extend nonparametric regression models with local linear least squares fitting using kernel weights to the case of linear and circular predictors. We derive the asymptotic properties of the conditional bias and variance of bivariate local linear least squares kernel estimators. A small simulation study and a real experiment are given.
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