摘要
研究了部分线性回归模型附加有随机约束条件时的估计问题.基于Profile最小二乘方法和混合估计方法提出了参数分量随机约束下的Profile混合估计,并研究了其性质.为了克服共线性问题,构造了参数分量的Profile混合岭估计,并给出了估计量的偏和方差.
This paper considers the estimation of a partially linear model when there are stochastic linear restrictions on the parameter components. Based on the profile least-squares approach and mixed regression estimaion, a profile mixed estimator for the parametric com- ponents was proposed and its properties was studied. Furthermore, to overcome the multicollinearity problem, a profile mixed ridge estimator for the parametric components was proposed and its bias and covariance were provided.
出处
《数学的实践与认识》
CSCD
北大核心
2014年第13期249-254,共6页
Mathematics in Practice and Theory
基金
国家自然科学基金(11301565)
北京高等学校"青年英才计划"项目(YETP1316)
中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)项目(14XNH105)