TY - JOUR
TI - Analysis model for forecasting extreme temperature using refined rank set pair
AU - Qiao Ling-Xia
AU - Zhang Yin
AU - Ma Wan-Ying
AU - Yang Xiao-Hua
AU - Li Jian-Qiang
JN - Thermal Science
PY - 2013
VL - 17
IS - 5
SP - 1369
EP - 1374
PT - Article
AB - 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.