Comparison of time series with unequal length in the frequency domain
In statistical data analysis it is often important to compare, classify, and cluster different time series. For these purposes various methods have been proposed in the literature, but they usually assume time series with the same sample size. In this paper, we propose a spectral domain method for handling time series of unequal length. The method make the spectral estimates comparable by producing statistics at the same frequency. The procedure is compared with other methods proposed in the literature by a Monte Carlo simulation study. As an illustrative example, the proposed spectral method is applied to cluster industrial production series of some developed countries.
|Date of creation:||Apr 2009|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Camacho, Maximo & Perez-Quiros, Gabriel & Saiz, Lorena, 2006.
"Are European business cycles close enough to be just one?,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 30(9-10), pages 1687-1706.
- Máximo Camacho & Gabriel Pérez-Quirós & Lorena Saiz, 2004. "Are european business cycles close enough to be just one?," Working Papers 0408, Banco de España;Working Papers Homepage.
- Camacho, Maximo & Pérez-Quirós, Gabriel & Sáiz Matute, Lorena, 2005. "Are European Business Cycles Close Enough to be Just One?," CEPR Discussion Papers 4824, C.E.P.R. Discussion Papers.
- Maximo Camacho & Gabriel Perez-Quiros, 2004. "Are European business cycles close enough to be just one?," Computing in Economics and Finance 2004 16, Society for Computational Economics.
- Maharaj, Elizabeth Ann, 2002.
"Comparison of non-stationary time series in the frequency domain,"
Computational Statistics & Data Analysis,
Elsevier, vol. 40(1), pages 131-141, July.
- Maharaj, E.A., 2001. "Comparison of Non-Stationary Time Series in the Frequency Domain," Monash Econometrics and Business Statistics Working Papers 1/01, Monash University, Department of Econometrics and Business Statistics.
- Caiado, Jorge & Crato, Nuno & Pena, Daniel, 2006. "A periodogram-based metric for time series classification," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2668-2684, June.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:15310. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.