摘要
考虑线性回归模型Y=Xβ十ε,E(ε)=0,COV(ε)=σ2I。本文给出另一种形式的有偏估计以βh=(X’X+hI)-1(X’Y十β),其中h>0是参数。β是回归系数β的LS估计,并阐明了βh也是一种好的估计。
Consider the linear regression model Y = Xβ + ε, E(ε ) = 0 andCOV(ε ) =σ2I. This paper gives another class of biased estimate βh =(X'X + hI)-1(X'Y + β ), where h> 0 is a parameter and β is the least squares estimate. It show that βh is also a good estimate.
关键词
有偏估计
LS估计
岭估计
均方误差
回归
Biased estimate
LS estimate
Ridge estimate
Mean Square error