1) Regression with minimum of forecast error
残差最小逐步回归
2) Residual-stepwiseregression
残差逐步回归
3) stepwise regression
逐步回归
1.
Influence relationship between clothing structure designing math model positions in stepwise regression;
逐步回归中服装结构设计数学模型部位间的影响关系
2.
Predicting the properties of aliphatic alcohols in stepwise regression;
用逐步回归法预测脂肪醇的-lgS_w和lgK_(ow)
3.
Rapid differential diagnosis of thalassemia trait and iron-deficiency anemia with stepwise regression analysis;
逐步回归分析快速鉴别诊断地中海贫血与缺铁性贫血
4) stepwise regression analysis
逐步回归
1.
Prediction of the canine coronal size by stepwise regression analysis;
逐步回归分析预测未萌尖牙冠宽
2.
Through stepwise regression analysis of the damaging degree and the willow features,the relationship between the variant regulation of the indices among different willow varieties and damage degree by Anoplophora glabripennis were studied.
测定了不同柳树品种或品系含水量、生长量、木材解剖结构等指标,采用逐步回归研究了这些指标在不同柳树品种或品系间的变化规律及与光肩星天牛危害程度之间的关系。
3.
In terms of artificial neural network method,mean generation function and stepwise regression analysis,a prediction model for the annual number of tropical cyclones affecting Guangxi is developed in this paper.
利用人工神经网络方法、结合均生函数和逐步回归分析方法对影响广西的热带气旋年频数序列进行神经网络的预测模型研究。
5) progressive regression
逐步回归
1.
The test data are analyzed with progressive regression,finding that the load-bearing capacity of package of T203 and T204 is superior to T202 but their anti-oxidation and anti-corrosion abilities are well-matched,and DNA and CuDDP have good anti-oxidation performances.
采用逐步回归分析实验数据 ,发现T2 0 3、T2 0 4复配后其承载抗磨能力优于T2 0 2 ,抗氧抗腐能力相当 ,DNA、CuDDP均具有很好的抗氧化性能 ,最后 ,运用多变量非线性规划理论计算出了各种添加剂的最佳加入量以及其最终配方。
2.
Firstly,progressive regression technique is used to seek the dominating factors affecting energy forecast and eliminate the secondary ones.
采用逐步回归法对影响能源预测的各因子进行筛选剔除,寻找主要影响因素,再由层次分析法给诸因子赋予权重,并利用可拓理论对选中的各影响因子与能源总量及其增长率建立物元模型,用改进的关联函数找到待测年份与历史年份的最接近年份,得到待测年份的增长率,从而预测能源总量。
6) Step regression
逐步回归
1.
The Evaluation of QC/QA in Water Sampling with the Step regression.;
逐步回归在评价水质监测采样过程QC/QA中的运用
2.
Quantitative analysis method of the relationship between temperature and power load based on decision tree and step regression;
基于决策树和逐步回归的气温对负荷影响的定量分析法
3.
Based on the project of National Grain Warning System,aiming at predicting the grain output of China,this paper has compared and analyzed forecasting performances of three methods,namely step regression,BP neural network and GM(1,N) gray system.
基于国家粮食安全预警系统的开发项目,针对我国粮食年产量预测中精度差和波动大的问题,分析了逐步回归、BP神经网络和GM(1,N)灰色系统3种常用预测方法的预测能力。
补充资料：最小残差法
分子式：
CAS号：
性质：一种判断实验点是否为异常点的方法。标准化残差遵从标准正态分布N(0，1)。实验点的标准化残差落在(-2，2)区间以外的概率≤0.05。若某一实验点的标准化残差落在(-2，2)区间以外，称为异常实验点，不参与回归线拟合。
CAS号：
性质：一种判断实验点是否为异常点的方法。标准化残差遵从标准正态分布N(0，1)。实验点的标准化残差落在(-2，2)区间以外的概率≤0.05。若某一实验点的标准化残差落在(-2，2)区间以外，称为异常实验点，不参与回归线拟合。
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