高等统计学
Mathematical statistics is the application of probability theory to data analysis. It involves collecting, organizing, analyzing, interpreting, and presenting data using rigorous mathematical methods. This course covers the basic principles and techniques of statistical theory for graduate students.
讲师
日期
2023年10月11日 至 12月27日
位置
Weekday | Time | Venue | Online | ID | Password |
---|---|---|---|---|---|
周三 | 13:30 - 16:55 | A3-3-103 | ZOOM 02 | 518 868 7656 | BIMSA |
修课要求
Fundamentals of probability theory and statistics
课程大纲
1.fundamental of probability theory that are used in mathematical statistics;
2.Fundamentals of Statistics;
3.Unbiased Estimation;
4.Estimation in Parametric Models;
5.Hypothesis Tests.
2.Fundamentals of Statistics;
3.Unbiased Estimation;
4.Estimation in Parametric Models;
5.Hypothesis Tests.
参考资料
1.Shao, Jun.: Mathematical statistics (Second edition), Springer-Verlag, New York, 2003.
2. 茆诗松、王静龙、濮晓龙: 《高等数理统计(第三版)》,高等教育出版社, 2022.
2. 茆诗松、王静龙、濮晓龙: 《高等数理统计(第三版)》,高等教育出版社, 2022.
听众
Advanced Undergraduate
, Graduate
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笔记公开
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讲师介绍
刘思序于2019年获得北京大学博士学位,之后在清华大学任博士后,并于2022年加入BIMSA任助理研究员。主要研究方向为动力系统与遍历论,统计试验设计。