NOD样本下线性模型回归系数估计的强相合性  

Strong Consistency of the Estimation of Regression Coefficient in Linear Models Based on NOD Sequence Sample

作　　者：李树生[1] 刘锐[1] 

机构地区：[1]安徽大学数学科学学院,合肥230039

出　　处：《重庆工商大学学报（自然科学版）》2012年第2期39-42,共4页Journal of Chongqing Technology and Business University:Natural Science Edition

摘　　要：线性模型是一类非常重要的数学模型,有着广泛的应运,其回归系数的估计是很多学者的研究对象,也是确定模型的关键,在文献中有不少研究.此处研究了在NOD样本下,线性模型回归系数的估计,并证明了估计的相合性.The linear model is a very important mathematical model and is widely applied. The estimation of its regression coefficients is the research objects of many scholars and is also the key to model determined. There have existed some researches in the literature. In this paper, the estimation of regression coefficients in linear model based on NOD sequence sample is studied and its strong consistency is proved.

关 键 词：线性模型 回归分位数 NOD序列 

分 类 号：O212.1[理学—概率论与数理统计]