摘要
设半参数回归模型Y(n)i=β·x(n)i+g(t(n)i)+E(n)i,i=1,2,…,n,本文由最小二乘法和一般加权方法定义的β、g(t)的估计量βn,gn(t),在误差为鞅差序列下获得了βn,gn(t)的r(≥2)阶平均相合性.
Considered Semiparametric regression model Y (n) i=β·X (n) i+g(t (n) i)+ε (n) i , We use the least squares and usual weighted method to define the estimates n and n for β and g and obtain its r(≥2) th mean consistencey under martingale difference sequence.
出处
《工科数学》
1999年第2期71-73,共3页
Journal of Mathematics For Technology