题目：LPRE criterion based estimating equation approaches for the error-in-covariables multiplicative regression models
报告人：中科院数学与系统科学研究院 王启华 教授（长江学者；国家杰出青年基金获得者）
报告时间：2016年9月9日下午15:00-16:00
地点：数学系第一报告厅
摘要：In this paper, we propose two estimating equation based methods to estimate the regression parameter vector in the multiplicative regression model when a subset of covariates are subject to measurement error but replicate measurements of their surrogates are available. Both methods allow the number of replicate measurements to vary between subjects. No parametric assumption is imposed on the measurement error term and the true covariates which are not observed in the data set. Under some regular- ity conditions, the asymptotic normality is established for both methods. Some simulation studies are conducted to assess the performances of the proposed methods. Real data analysis is used to illustrate our methods.
