(10月31日）LPRE criterion based estimating equation approaches for the error-in-covariables multiplicative regression models
 来源： 陈黎   发布时间：2017-10-25   阅读次数：477
 题目：LPRE criterion based estimating  equation approaches for the error-in-covariables  multiplicative regression models 时间、地点：31号上午10:10-11:00 工商楼200-9   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 regularity conditions, the asymptotic normality is established for both methods. Furthermore, our two proposed error corrected methods are compared in theoretical aspect when 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.   个人简介： 王启华，中国科学院数学与系统科学研究院研究员，博士生导师，国家杰出青年基金获得者，教育部长江学者奖励计划特聘教授，中科院“百人计划”入选者，国际统计研究会当选会员（elected member）, （先后访问加拿大Carleton大学、California大学戴维斯分校、California大学洛杉矶分校、美国Yale大学、美国华盛顿大学、美国西北大学、德国Humboldt大学、澳大利亚国立大学及澳大利亚悉尼大学等。主要从事生存分析、缺失数据分析、高维数据统计分析及非-半参数统计推断等方面的研究。）出版专著两部，发表论文百余篇，其中90多篇发表在 The Annals of Statistics,  JASA及Biometrika等国际重要刊物， 2014，2015及2016连续3年被Elsevier列入中国高被引专家, 是一些国际与国内刊物的主编与编委。   联系人：张立新老师（stazlx@zju.edu.cn）