污染数据回归模型的强相合估计  

Strong Consistency Estimation in Regression Model for Contaminated Data

作　　者：杜敏[1] 

机构地区：[1]安徽师范大学数学计算机科学学院,安徽芜湖241000

出　　处：《安徽师范大学学报（自然科学版）》2007年第4期447-450,共4页Journal of Anhui Normal University(Natural Science)

基　　金：安徽省省级教学研究项目(JYXM2003159)

摘　　要：讨论了(I)型污染回归模型,并不假定误差分布为正态,分别从误差方差为已知和未知两个方面给出污染系数及回归系数的参数估计,并在适当的条件下证明其强相合性.In this paper, contamination regression model of type I is studied. Not setting error distribution as normal distribution, two estimations of contamination coefficient and regression coeffcient are obtained whether the variance of error is known or not. Furthermore, strong consistency is proved under suitable conditions.

关 键 词：污染系数 污染数据 强相合估计 

分 类 号：O212[理学—概率论与数理统计]