1) Combined ridge with Shrunken estimator
有偏岭-压缩组合估计
2) Ridge-Stein combined estimator
岭压缩组合估计
3) Ridged shrunken principal cormponents estimate
岭型压缩主成分估计
4) combining ridge and principal component estimator(CRPC)
岭-主成分组合估计
5) ridge combined principal component estimate
岭型组合主成分估计
1.
A new estimate, ridge combined principal component estimate (R CP), is proposed for the regression coefficients of a linear model Some properties including admissibility,excellence property of the estimate are studied Several selecting methods for using the ridge parameters are also give
提出了线性模型回归系数的一种新的估计——岭型组合主成分估计 ,讨论了岭型组合主成分估计的可容许性、优良性等性质 ,并给出了应用时岭参数的几种选取方
6) biased estimation
有偏估计
1.
Study on the Restricted Biased Estimation in the Linear Model;
线性模型中的约束型有偏估计的研究
2.
iscusses the problem of linear biased estimation of the parent mean.
本文讨论母体均值的线性有偏估计问题，给出了在均方误差意义下线性有偏估计优于样本均值的充要条件。
3.
To linear regression models Y=Xβ+ε,E(ε)=0,Cov(ε)=σ2V,V>0,the necessary and sufficient condition that biased estimation β*h=(XTV-1X+hI)-1(XTV-1Y+β*) is an admissible estimation is obtained and β*h condition that is superior to ridge estimation is also given.
对于线性回归模型Y=Xβ+,εE(ε)=0,Cov(ε)=σ2V,V>0,给出了回归系数的有偏估计βh*=(XTV-1X+hI)-1(XTV-1Y+β*)(h>0)优于岭估计的条件以及在二次损失下可容许的充要条件。
补充资料：有偏估计
分子式：
CAS号：
性质：由样本值求得的估计值与待估参数的真值之间有系统误差，其期望值不是待估参数的真值。这种估计称为有偏估计。
CAS号：
性质：由样本值求得的估计值与待估参数的真值之间有系统误差，其期望值不是待估参数的真值。这种估计称为有偏估计。
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