On the estimation and testing of functional-coefficient linear models

被引:7
|
作者
Xia, YC [1 ]
Li, WK
机构
[1] Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Peoples R China
[2] Jinan Univ, Coll Econ, Guangzhou, Peoples R China
关键词
FAR model; local linear smoother; nonparametric regression; strongly mixing sequence; Wiener process;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
lIn this paper we investigate the estimation and testing of the functional coefficient linear models under dependence, which includes the functional coefficient autoregressive model of Chen and Tsay (1993). We use local linear smoothing to estimate the coefficient functions of a functional-coefficient linear model, prove their uniform consistency, and derive their asymptotic distributions in terms of Gaussian processes. From these distributions we can obtain some tests about coefficient functions and the model. Some simulations and a study of real data are reported.
引用
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页码:735 / 757
页数:23
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