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Comparison of Non-Stationary Time Series in the Frequency Domain
by
Ann Maharaj
Department of Econometrics and Business Statistics, Monash University
In this paper we compare two non-stationary time series using non-parametric procedures. Evolutionary spectra are estimated for the two series. Randomization tests are performed on groups of spectral estimates for both related and independent time series. Monte Carlo studies show that in certain cases the tests perform reasonably well. The tests are applied to observed geological and financial time series.
Date received: September 4, 2001
Copyright © 2001 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cagd-52.