摘要
采用一次预报最佳子集回归方法 ,设计并实施了筛选预报因子的向后法和引进、剔除的双重检验逐步筛选法两种计算方案 .试验表明 ,一次预报最佳子集回归与通常的逐步回归分析相比具有明显的优越性 .通过对新安江流域 ( 10站平均 )汛期 ( 4～ 9月 )降水量资料的分析 ,从中提取隐含的周期分量 ,采用上述方案进行实例试报 ,结果表明 。
Two calculation schemes,backward algorithm screening prediction and double chest stepwise screening for algorithm of introduction and rejection prediction,were designed and applied using the method of best subset regression for single prediction.The study shows that the method has advantages over other stepwise regression analyses.The method was used to analyze the rainfall data of Xinanjiang River drainage basin during the rainy season (April to September).The results indicate that the method has some predictive ability.
出处
《科技通报》
北大核心
2001年第4期11-15,共5页
Bulletin of Science and Technology
基金
浙江省自然科学基金资助项目!(4 980 2 2 )
关键词
最佳子集回归
一次预报
降水量
新安江流域
best subset regression
single prediction
Xinanjiang River
rainfall
