1) stepwise-regression forecasting model
逐步回归预报模型
2) stepwise regression of principal components
逐步回归预报
3) stepwise regression model
逐步回归模型
1.
A stepwise regression model was used for finding the relationship between lake water quality and urban land use types,and rural residential,urban residential,commercial land and bottomland were determined as the main sources of non-point source pollution(NPS).
以武汉市汉阳区为例,利用逐步回归模型分析了城市土地利用类型与流域湖泊水质之间的相关关系,发现农村居民地、城市居民地、商业用地和滩地等用地类型是城市湖泊非点源污染的主要来源。
2.
Using the 74 types of atmospheric circulation characteristics(ACC),monthly stepwise regression models of corn heat indexes from May,the sowing month,to August for 3 typical stations in 3 provinces of Northeastern China are developed.
利用1960-2005年74类大气环流资料,从玉米播种期的5月开始到8月,逐月滚动建立了东北3省典型站玉米热量指数的逐步回归模型。
4) logistic model stepwise regression
Logistic模型逐步回归
5) gradually autoregressive model
逐步自回归模型
6) principle component-stepwise regression model
主成分-逐步回归模型
补充资料：短期天气预报(见天气预报和天气图预报)
短期天气预报(见天气预报和天气图预报)
u。。，，，:‘，anq，yubao短期天气预报见关匀布绍升，二，二一一
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条