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Titel A propagation-separation approach to estimate the autocorrelation in a time-series
VerfasserIn D. V. Divine, J. Polzehl, F. Godtliebsen
Medientyp Artikel
Sprache Englisch
ISSN 1023-5809
Digitales Dokument URL
Erschienen In: Nonlinear Processes in Geophysics ; 15, no. 4 ; Nr. 15, no. 4 (2008-07-23), S.591-599
Datensatznummer 250012711
Publikation (Nr.) Volltext-Dokument vorhandencopernicus.org/npg-15-591-2008.pdf
 
Zusammenfassung
The paper presents an approach to estimate parameters of a local stationary AR(1) time series model by maximization of a local likelihood function. The method is based on a propagation-separation procedure that leads to data dependent weights defining the local model. Using free propagation of weights under homogeneity, the method is capable of separating the time series into intervals of approximate local stationarity. Parameters in different regions will be significantly different. Therefore the method also serves as a test for a stationary AR(1) model. The performance of the method is illustrated by applications to both synthetic data and real time-series of reconstructed NAO and ENSO indices and GRIP stable isotopes.
 
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