2) All Possible Regression
全集子回归
3) Optimal regression subset
最优回归子集
4) subset autoregressive model
子集自回归模型
5) optimum subset regression
最佳子集回归
1.
Based on 15-station flood season precipitation for 1952～2001 over Guizhou,preceding SST of Pacific ocean,and three-factor optimum subset regression analysis method,the relationship between early predictors of different time steps and different time intervals which are composed by Pacific SST field,and rainfall field in flood season is studied.
利用1952～2001年贵州15个测站夏季降水和前期太平洋海温场资料,及3因子最佳子集回归求最大复相关系数的方法,把前期不同时间步长、不同时段的海温场作为预报因子与夏季降水求相关。
2.
Baced on the general circulation background,synoptic-climatological cause and external forcing predictor of rainfall of Yunnan in May,the composite model of the long-term weather process of Yunnan in May for rainfall and the optimum subset regression model of rank statistics applied for dryness and wetness forecasting are presented.
根据影响云南 5月旱涝的大气环流背景、天气气候成因以及外界强迫因子 ,提出了云南 5月雨量的长期天气过程的物理概念模式和用于旱涝预测的秩序统计量最佳子集回归模式 。
6) optimal subset regression
最优子集回归
1.
Through the application of optimal subset regression method based on meanvalue generation function in precipitation forecast in rainy season (from April to June) in Jiangxi, it is found that the forecast results are satisfactory when the prediction step equals one year The forecast capacity practiced in April is better than that in May and Jun
通过基于均生函数的最优子集回归方法在江西雨季 (4～ 6月 )降水预测中的应用 ,发现预报步长为 1 a时 ,预报效果较为理想。
2.
Moreover, combined with multi-model data, an optimal subset regression (OSR) approach is used to perform a statistical downscaling forecast for the seasonal precipitation in China.
利用DEMETER计划多个模式的模拟资料研究1959~2001年多模式集合预报的季节降水在中国区域的表现,并结合最优子集回归(OSR)方法对中国区域的季节降水进行降尺度预报,比较其与多模式集合预报的技巧。
补充资料：不变子集
不变子集
mvariant subset
不变子集汇加粕雌阴亡即肠以;H.即“明.oe邢脚助狱ec-，0]，群G的 G的子集H，它包含它的每个元素h在G中的所有共辘元(conj贝势te ekn笠幻t)，即所有形为g一’hg的元素.不变子半群(invanani sub一~·group)是一.压忍葱胜到厉价周落玉耳蕊胃.
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