A nonparametric procedure to detect periods in time series
Suppose that for a given time series the experimenter knows that it has a certain periodic property and that he wishes to find out the length of the period. For this problem a nonparametric procedure is proposed. It consists of a new smoothing technique based on Kendall's Tau and a specific counting method. The procedure is studied under a simple model of periodic time series which are composed of periodic (deterministic) functions, a linear trend and exchangeable (stochastic) sequences. The performance of the procedure is illustrated by a simple example.
Year of publication: |
1982
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Authors: | Miescke, Klaus-J. ; Pöppel, Ernst |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 13.1982, 3, p. 319-325
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Publisher: |
Elsevier |
Keywords: | Periodic time series in biology nonparametric estimation of periods in time series smoothing techniques for times series Kendall's Tau rank methods in time series analysis |
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