Principal Component Regression的意思|示意
主成分回归
Principal Component Regression的网络常见释义
主成分回归 ...得到的结果常常无法用现代医学理论进行解释,即多元线性回归分析结果不合理,此时主成分回归(principal component regression PCR)是解决这个问题的一个方法。然而,当数据中存在异常点
主成分分析法 ... 匹配指数match index，M.I. 主成分分析法principal component regression，PCR 人工神经网络方法artificial neural networks ...
回归法 2 主成分 回归法 ( Principal Component Regression ) 主成分 回归法 是另外一种常用的处理多重共线 性的有偏估计方法,它通过提取主成分,将解释变量 集合转化为相互正交的少数几个主...
Principal Component Regression相关短语
1、 principal component regression PCR 主成分回归
2、 Principal component regression spectrophotometry 主成份回归分光光度法
3、 principal component regression method 主成分回归法 ; 关键词光度法
Principal Component Regression相关例句
Then all data were analyzed by principal component regression (PCR) and partial least square (PLS).
采用主成分回归（PCR）和偏最小二乘法（PLS）对试验数据进行了多元统计分析。
Principal component analysis and stepwise regression were employed to characterize availability of heavy metals, microbial responses and their effect factors in the studied soil.
利用主成分和逐步回归分析了影响土壤重金属的有效性及其微生物学效应的因素。
This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
研究岭型主成分估计在降维估计类中的方差最优性，证明了它的方差阵在降维估计类中最小，方差阵的特征值最小，方差和及方差积最小。
To compare PLS with principal component regression (PCR) and ordinal least square regression (OLS) by a medical case.
应用医学实例计算，对偏最小二乘回归与主成分回归及一般最小二乘回归进行比较。
Because the separation for GISE is an almost singular regression problem, the classic least square method and principal component method are not satisfactorily for solving the problem.
由于工具误差分离存在着很强的复共线性，传统的最小二乘方法与主成分方法不能很好的解决这一问题。
The principal component regression of samples was made. The obtained results were identical with the reference analytical values.
对样品进行主成分回归分析，所得结果与参考值基本一致。