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Article

Power-Type Functions of Prediction Error of Sea Level Time Series

1
Ocean College, Zhejiang University, Hangzhou 310058, China
2
School of Information Science and Technology, East China Normal University, Shanghai 200241, China
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Author to whom correspondence should be addressed.
Academic Editor: Carlo Cattani
Entropy 2015, 17(7), 4809-4837; https://0-doi-org.brum.beds.ac.uk/10.3390/e17074809
Received: 27 April 2015 / Revised: 21 June 2015 / Accepted: 3 July 2015 / Published: 9 July 2015
(This article belongs to the Special Issue Wavelets, Fractals and Information Theory I)
This paper gives the quantitative relationship between prediction error and given past sample size in our research of sea level time series. The present result exhibits that the prediction error of sea level time series in terms of given past sample size follows decayed power functions, providing a quantitative guideline for the quality control of sea level prediction. View Full-Text
Keywords: sea level time series; prediction error; long-range dependence; power law sea level time series; prediction error; long-range dependence; power law
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MDPI and ACS Style

Li, M.; Li, Y.; Leng, J. Power-Type Functions of Prediction Error of Sea Level Time Series. Entropy 2015, 17, 4809-4837. https://0-doi-org.brum.beds.ac.uk/10.3390/e17074809

AMA Style

Li M, Li Y, Leng J. Power-Type Functions of Prediction Error of Sea Level Time Series. Entropy. 2015; 17(7):4809-4837. https://0-doi-org.brum.beds.ac.uk/10.3390/e17074809

Chicago/Turabian Style

Li, Ming, Yuanchun Li, and Jianxing Leng. 2015. "Power-Type Functions of Prediction Error of Sea Level Time Series" Entropy 17, no. 7: 4809-4837. https://0-doi-org.brum.beds.ac.uk/10.3390/e17074809

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