文件名称:statistical-analysis
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MultiLineReg:用线性回归法估计一个因变量与多个自变量之间的线性关系
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg:用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly:用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis:用Fisher两类判别法对样本进行分类
MainAnalysis:对样本进行主成分分析.-MultiLineReg: estimated using linear regression linear relationship between a dependent variable and multiple independent variables PolyReg polynomial regression estimates a polynomial relationship between the variable with an independent variable CompPoly2Reg: use times complete regression method to estimate the relationship between a dependent variable and two independent variables CollectAnaly: shortest distance algorithm for system clustering samples the clustering DistgshAnalysis: Fisher two types of discrimination law to classify the samples MainAnalysis: The principal component analysis of samples.
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg:用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly:用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis:用Fisher两类判别法对样本进行分类
MainAnalysis:对样本进行主成分分析.-MultiLineReg: estimated using linear regression linear relationship between a dependent variable and multiple independent variables PolyReg polynomial regression estimates a polynomial relationship between the variable with an independent variable CompPoly2Reg: use times complete regression method to estimate the relationship between a dependent variable and two independent variables CollectAnaly: shortest distance algorithm for system clustering samples the clustering DistgshAnalysis: Fisher two types of discrimination law to classify the samples MainAnalysis: The principal component analysis of samples.
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下载文件列表
statistical analysis\AccordAnalysis.m
....................\BackReg.m
....................\CollectAnaly.m
....................\CompPoly2Reg.m
....................\DistgshAnalysis.m
....................\ForwardReg.m
....................\LineReg.m
....................\MainAnalysis.m
....................\MultiLineReg.m
....................\PeakReg.m
....................\PolyReg.m
....................\ZYFG.m
statistical analysis