Analysis model for forecasting extreme temperature using refined rank set pair
| Autor: | Wan-ying Ma, Jianqiang Li, Yin Zhang, Xiaohua Yang, Ling-xia Qiao |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Series (mathematics)
Rank (linear algebra) Renewable Energy Sustainability and the Environment lcsh:Mechanical engineering and machinery refined rank set pair analysis model robust analysis prediction extreme temperature Extreme temperature Set (abstract data type) Transformation (function) Error analysis Statistics lcsh:TJ1-1570 time series Robust analysis error analysis Mathematics |
| Zdroj: | Thermal Science, Vol 17, Iss 5, Pp 1369-1374 (2013) |
| ISSN: | 2334-7163 0354-9836 |
| DOI: | 10.2298/tsci1305369q |
| Popis: | In order to improve the precision of forecasting extreme temperature time series, a refined rank set pair analysis model with a refined rank transformation function is proposed to improve precision of its prediction. The measured values of the annual highest temperature of two China?s cities, Taiyuan and Shijiazhuang, in July are taken to examine the performance of a refined rank set pair model. |
| Databáze: | OpenAIRE |
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