报告题目：

Complex Likelihood Ratio Test for GLM

报 告 人：

Xingwei Tong (School of Stattistics, Beijing Normal University)

报告时间：

2017年12月17日 10:00--11:00

报告地点：

数学院二楼报告厅

报告摘要：

In this talk, we consider a special hypothesis test. First we use it to analyze the common linear model and proposed a decision rule with Type

I error. Then we extend it to the GLM.

To be compatible with GLM, we propose a new definition with complex likelihood function and Complete Likelihood Ratio test for GLM, which better fits the problem.