Generalized likelihood ratio tests for spectral density

Jianqing Fan Wenyang Zhang

Statistics Theory and Methods mathscidoc:1912.43430

2002
There are few techniques available for testing whether or not a family of parametric times series models fits a set of data reasonably well without serious restrictions on the forms of alternative models. In this paper, we consider generalised likelihood ratio tests on whether the spectral density function of a stationary time series admits certain parametric forms. We propose a bias correction method for the generalised likelihood ratio test of Fan et al.(2001). In particular, our methods can be applied to test whether or not a residual series is white noise. Sampling properties of the proposed tests are established. A bootstrap approach is proposed for estimating the null distribution of the test statistics. Simulation studies investigate the accuracy of the proposed bootstrap estimate and compare the power of the various ways of constructing the generalised likelihood ratio tests as well as some classic methods like the Cramer-von Mises and Ljung-Box tests. Our results favour the newly proposed bias reduction method using the local likelihood estimator.
No keywords uploaded!
[ Download ] [ 2019-12-21 11:43:56 uploaded by Jianqing_Fan ] [ 227 downloads ] [ 0 comments ]
@inproceedings{jianqing2002generalized,
  title={Generalized likelihood ratio tests for spectral density},
  author={Jianqing Fan, and Wenyang Zhang},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191221114356340551990},
  year={2002},
}
Jianqing Fan, and Wenyang Zhang. Generalized likelihood ratio tests for spectral density. 2002. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191221114356340551990.
Please log in for comment!
 
 
Contact us: office-iccm@tsinghua.edu.cn | Copyright Reserved