Comparison of Nonparametric Components in Two Partially Linear Models

被引:0
作者
Shi, Sanzhi [2 ]
Song, Lixin [1 ]
机构
[1] Dalian Univ Technol, Dept Math, Dalian 116024, Peoples R China
[2] Changchun Univ Sci & Technol, Sch Sci, Changchun, Peoples R China
关键词
Generalized likelihood ratio test; Local linear estimation; Moment method; Partially linear models; Two stage method; LIKELIHOOD; REGRESSION; CHECKING;
D O I
10.1080/03610920902903140
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
In this article, we are concerned with whether the nonparametric functions are parallel from two partial linear models, and propose a test statistic to check the difference of the two functions. The unknown constant is estimated by using moment method under null models. Nonparametric functions under both null and full models are estimated by using local linear method. The asymptotic properties of parametric and nonparametric components are derived. The test statistic under the null hypothesis is calculated and shown to be asymptotically normal.
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页码:1799 / 1816
页数:18
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