数学物理学报

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带有随机设计的非参数回归模型的异方差小波检验

李元 ;杨益党   

  1. 广州大学数学与信息科学学院 广州 510006
  • 收稿日期:2005-01-09 修回日期:2006-07-11 出版日期:2007-08-25 发布日期:2007-08-25
  • 通讯作者: 李元
  • 基金资助:
    国家自然科学基金(10671044)、广州市教育局项目(2044)和广州市科技局项目(2004J1-C0333)

Testing Heteroscedasticity by Wavelets in a Nonparametric Regression Model with Random Design

Li Yuan;Yang Yidang   

  1. School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006

  • Received:2005-01-09 Revised:2006-07-11 Online:2007-08-25 Published:2007-08-25
  • Contact: Li Yuan

摘要: 该文讨论了带有随机设计的非参数回归模型的异方差小波检验. 首先给出了回归模型的条件方差函数的经验小波系数, 然后证明了它们是渐近独立和正态的. 基于 Fan (1996) 的方法, 构造了异方差检验统计量.最后通过数值模拟,作者检验了该文所提出的方法的有效性.模拟结果表明该文所提出的检验方法在水平和功效方面表现良好.

关键词: 回归模型, 异方差, 检验, 小波

Abstract: The authors consider a wavelet-based test for heteroscedasticity in a nonparametric regression model with random design. The empirical wavelet coefficients of the error variance in the model are given and shown to be asympototically i.i.d. normal. Then based on the approaches of Fan (1996), the test statistic for heteroscedasticity is constructed. Finally, the authors examine the performance of the test in a simulation study. The test is found to perform well, in terms of both sizes and powers.

Key words: Regression model, Heteroscedasticity, Test, Wavelets

中图分类号: 

  • 62G10