主讲人：曹明响教授
报告题目：Testing the general linear hypothesis in high-dimensional heteroscedastics via random integration
报告时间：2024年9月23日（周一）上午9:00-11:00
报告地点：立德楼 501
报告摘要：In this paper, we proposed a test procedure based on random integration and 
-approximate method to deal with the problem of heteroskedastic general linear hypothesis testing (GLHT) in high-dimensional settings. The asymptotic distributions of the proposed test statistic was obtained under the null and the alternative hypotheses, respectively. The results showed that it was more reasonable to approximate the distributions of the new test using the distribution of the chi-square type mixture. Numerical simulations and real data analysis further showed that our proposed test was more powerful than competing tests.
个人简介：安徽师范大学教授，硕士生导师。主持国家自然科学基金项目2项，安徽省自然科学基金项目1项，安徽省教育厅项目3项，安徽师范大学博士启动基金重点项目1项，安徽省教育厅质量工程教研重点项目1项。发表学术论文35篇，其中被SCI收录26篇。
