摘要
对于聚集数据的广义线性模型:Y=Xβ+u,Eu=0,Var(u)=σ2∑,提出了二种有偏估计:岭估计β(k)与改进岭估计β(k)。在均方误差意义下,研究了它们的优良性,并将岭估计与改进岭估计进行了比较,推广了有关文献中的结果。
For the generalized linear model with aggregated data: Y=Xβ+u,Eu=0,Var(u)=σ2∑, this pa-per is built two kinds of biased estimators : ridge estimator β(k) and improved ridge estimator β(k) which are discussed some superiority to the estimators in the sense of mean square error. Comparision between two kinds of estimators . This paper is extended from the result on relevant documents.
出处
《南昌大学学报(工科版)》
CAS
2008年第1期24-27,共4页
Journal of Nanchang University(Engineering & Technology)
基金
江西省教育厅科技计划资助项目(GJJ08321)
关键词
聚集数据
广义线性模型
岭估计
改进岭估计
均方误差
aggregated data
the generalized linear model
ridge estimator
improved ridge estimator
mean square error