Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-22T09:00:46.199Z Has data issue: false hasContentIssue false

Goodness-of-fit tests in long-range dependent processes under fixed alternatives

Published online by Cambridge University Press:  21 May 2013

Holger Dette
Affiliation:
Ruhr-Universität Bochum, Fakultät für Mathematik, 44780 Bochum, Germany. [email protected]; [email protected]
Kemal Sen
Affiliation:
Ruhr-Universität Bochum, Fakultät für Mathematik, 44780 Bochum, Germany. [email protected]; [email protected]
Get access

Abstract

In a recent paper Fay and Philippe [ESAIM: PS 6 (2002) 239–258] proposed a goodness-of-fit test for long-range dependent processes which uses the logarithmic contrast as information measure. These authors established asymptotic normality under the null hypothesis and local alternatives. In the present note we extend these results and show that the corresponding test statistic is also normally distributed under fixed alternatives.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Arcones, M.A., Limit theorems for nonlinear functionals of a stationary Gaussian sequence of vectors. Ann. Probab. 22 (1994) 22422274. Google Scholar
Beran, J., A goodness-of-fit test for time series with long-range dependence. J. R. Stat. Soc., Ser. B Stat. Methodol. 54 (1992) 749760. Google Scholar
Berger, J.O. and Delampady, M., Testing precise hypotheses. Stat. Sci. 2 (1987) 317335. Google Scholar
Chen, W.W. and Deo, R.S., A generalized Portmanteau goodness-of-fit test for time series models. Econ. Theory 20 (2004) 382416. Google Scholar
Chen, W.W. and Deo, R.S., Estimation of misspecified long-memory models. J. Econom. 134 (2006) 257281. Google Scholar
Dahlhaus, R., Efficient parameter estimation for self-similar processes. Ann. Stat. 17 (1989) 17491766. Google Scholar
Deo, R.S. and Chen, W.W., On the integral of the squared periodogram. Stoc. Proc. Appl. 85 (2000) 159176. Google Scholar
Dette, H., A consistent test for the functional form of a regression based on a difference of variance estimators. Ann. Statist. 27 (1999) 10121040. Google Scholar
Dette, H., A consistent test for heteroscedasticity in nonparametric regression based on the kernel method. J. Statist. Plann. Inference 103 (2002) 311329. Google Scholar
Dette, H. and Munk, A., Some methodological aspects of validation of models in nonparametric regression. Stat. Neerl. 57 (2003) 207244. Google Scholar
Dette, H. and Spreckelsen, I., A note on a specification test for time series models based on spectral density estimation. Scand. J. Stat. 30 (2003) 481491. Google Scholar
Fay, G. and Philippe, A., Goodness-of-fit test for long range dependent processes. ESAIM: PS 6 (2002) 239258. Google Scholar
Fox, R. and Taqqu, M.S., Large-sample properties of parameter estimates for strongly dependent stationary Gaussian time series. Ann. Stat. 14 (1986) 517532. Google Scholar
Giraitis, L. and Surgailis, D., A central limit theorem for quadratic forms in strongly dependent linear variables and its application to asymptotical normality of Whittle’s estimate. Probab. Theory Relat. Fields 86 (1990) 87104. Google Scholar
Greene, M.T. and Fielitz, B.D., Long-term dependence in common stock returns. J. Financ. Econ. 4 (1977) 339349. Google Scholar
Hurvich, C., Moulines, E. and Soulier, P., The FEXP estimator for potentially non-stationary linear time series. Stochastic Processes Appl. 97 (2002) 307340. Google Scholar
Koutsoyiannis, D., Makropoulos, C., Langousis, A., Baki, S., Efstratiadis, A., Christofides, A., Karavokiros, G. and Mamassis, N., HESS opinions: climate, hydrology, energy, water: recognizing uncertainty and seeking sustainability. Hydrol. Earth Syst. Sci. 13 (2009) 247257. Google Scholar
Mokkadem, A., A measure of information and its applications to test for randomness against ARMA alternatives and to goodness-of-fit test. Stochastic Processes Appl. 72 (1997) 145159. Google Scholar
Paparoditis, E., Spectral density based goodness-of-fit tests for time series models. Scand. J. Statist. 27 (2000) 143176. Google Scholar
K. Park and W. Willinger, Self-similar network traffic: an overview, in Self-Similar Network Traffic and Performance Evaluation, edited by K. Park and W. Willinger. Wiley Interscience, New York (2000) 1–39.
Stroe-Kunold, E., Stadnytska, T., Werner, J. and Braun, S., Estimating long-range dependence in time series: An evaluation of estimators implemented in R. Behavior Res. Methods 41 (2009) 909923. Google Scholar
Whittle, P., Estimation and information in stationary time series. Ark. Mat. 1 (1953) 423434. Google Scholar