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PARAMETER ESTIMATION IN LINEAR REGRESSION MODELS FOR LONGITUDINAL CONTAMINATED DATA
引用本文:QianWeimin LiYumei. PARAMETER ESTIMATION IN LINEAR REGRESSION MODELS FOR LONGITUDINAL CONTAMINATED DATA[J]. 高校应用数学学报(英文版), 2005, 20(1): 64-74. DOI: 10.1007/s11766-005-0038-0
作者姓名:QianWeimin LiYumei
作者单位:Dept.ofAppl.Math.,TongjiUniv.,Shanghai200092,China.
基金项目:theNationalNaturalScienceFoundationofChina(10171079)
摘    要:The parameter estimation and the coefficient of contamination for the regression models with repeated measures are studied when its response variables are contaminated by another random variable sequence. Under the suitable conditions it is proved that the estimators which are established in the paper are strongly consistent estimators.

关 键 词:参数估计 衰退模型 强相容 数理统计
收稿时间:2003-04-02

Parameter estimation in linear regression models for longitudinal contaminated data
Qian Weimin,Li Yumei. Parameter estimation in linear regression models for longitudinal contaminated data[J]. Applied Mathematics A Journal of Chinese Universities, 2005, 20(1): 64-74. DOI: 10.1007/s11766-005-0038-0
Authors:Qian Weimin  Li Yumei
Affiliation:(1) Dept. of Appl. Math., Tongji Univ., 200092 Shanghai, China
Abstract:The parameter estimation and the coefficient of contamination for the regression models with repeated measures are studied when its response variables are contaminated by another random variable sequence.Under the suitable conditions it is proved that the estimators which are established in the paper are strongly consistent estimators.
Keywords:longitudinal data   coeffcient of contamination   parameter estimation  strong consistency.
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