Power-Type Functions of Prediction Error of Sea Level Time Series
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-07-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/17/7/4809 |
| _version_ | 1811184987612905472 |
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| author | Ming Li Yuanchun Li Jianxing Leng |
| author_facet | Ming Li Yuanchun Li Jianxing Leng |
| author_sort | Ming Li |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T13:21:46Z |
| format | Article |
| id | doaj.art-b314afa27b424f5da8e22eb283dfc2d3 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T13:21:46Z |
| publishDate | 2015-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-b314afa27b424f5da8e22eb283dfc2d32022-12-22T04:22:11ZengMDPI AGEntropy1099-43002015-07-011774809483710.3390/e17074809e17074809Power-Type Functions of Prediction Error of Sea Level Time SeriesMing Li0Yuanchun Li1Jianxing Leng2Ocean College, Zhejiang University, Hangzhou 310058, ChinaSchool of Information Science and Technology, East China Normal University, Shanghai 200241, ChinaOcean College, Zhejiang University, Hangzhou 310058, ChinaThis 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.http://www.mdpi.com/1099-4300/17/7/4809sea level time seriesprediction errorlong-range dependencepower law |
| spellingShingle | Ming Li Yuanchun Li Jianxing Leng Power-Type Functions of Prediction Error of Sea Level Time Series Entropy sea level time series prediction error long-range dependence power law |
| title | Power-Type Functions of Prediction Error of Sea Level Time Series |
| title_full | Power-Type Functions of Prediction Error of Sea Level Time Series |
| title_fullStr | Power-Type Functions of Prediction Error of Sea Level Time Series |
| title_full_unstemmed | Power-Type Functions of Prediction Error of Sea Level Time Series |
| title_short | Power-Type Functions of Prediction Error of Sea Level Time Series |
| title_sort | power type functions of prediction error of sea level time series |
| topic | sea level time series prediction error long-range dependence power law |
| url | http://www.mdpi.com/1099-4300/17/7/4809 |
| work_keys_str_mv | AT mingli powertypefunctionsofpredictionerrorofsealeveltimeseries AT yuanchunli powertypefunctionsofpredictionerrorofsealeveltimeseries AT jianxingleng powertypefunctionsofpredictionerrorofsealeveltimeseries |