中文摘要：

本文介绍了随机截尾的带有不完全信息的广义线性模型，并在一定条件下运用Taylor渐近展开方法得到了此模型的极大似然估计的中偏差．

英文摘要：

In this paper,we obtain some moderate deviation results of the maximum likelihood esti- mator for the generalized linear model （GLM） based on the observed data with incomplete informa- tion in the case of random censorship under certain regular conditions by Taylor asymptotic expanslon.