学术报告
LPRE criterion based estimating equation approaches of the error-in-covariables multiplicative regression models - 王启华 (中国科学院数学与系统科学研究院)
题目：LPRE criterion based estimating equation approaches of the error-in-covariables multiplicative regression models
报告人：王 启 华 (中国科学院数学与系统科学研究院)
Abstract
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 regularity conditions, the asymptotic normality is proved for both the proposed estimators. Furthermore, a theoretical comparison is made for them in a special case where the distribution of the measurement error follows the normal distribution. Some simulation studies are conducted to assess the performances of the proposed methods. Real data analysis is used to illustrate our methods.
时间： 11月28日（周二）上午10:30-11:15
地点：首都师范大学本部教二楼913教室
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