統計推論(博)
Statistical Inference
| 節 | 週三 |
|---|---|
2 09:00–09:50 | 統計推論(博) A407 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
This is a compact, rigorous, self-contained, and accessible graduate course on statistical estimation and inference that reflects the current trends in statistical research. One of the features of this course is the systematic use of a parsimonious set of assumptions and mathematical tools to streamline some recurring regularity conditions, and theoretical results that are fundamentally similar.
A master-level "Mathematical Statistics" course. Please study three preliminary chapters by yourself: Chapter 1 contains preliminaries for the finite-sample theory; Chapters 7 and 10 for the asymptotic theory.
The projector and the blackboard will be used for this course.
作業部份: 1. Homework Assignments 1: 15 problems selected from Chapters 2 and 3; due at 9:00 a.m. on Wednesday, Nov. 11, 2020 (the 9th week). 2. Homework Assignments 2: 15 problems selected from Chapters 8 and 11; due at 9:00 a.m. on Wednesday, Jan. 13, 2021 (the 18th week). 考試部份: 1. Midterm examination: 5 problems selected from Homework Assignments 1; from 9:00 a.m. to 12:00 p.m. on Wednesday, Nov. 11, 2020 (the 9th week). 2. Final examination: 5 problems selected from Homework Assignments 2; from 9:00 a.m. to 12:00 p.m. on Wednesday, Jan. 13, 2021 (the 18th week). 評量部份: 1. Roll Call: 10%. (-1% for each absence) 2. Homework Assignments 1: 30%. 3. Homework Assignments 2: 30%. 4. Midterm examination: 15%. 5. Final examination: 15%. 95-92-90
- Chapter 2. Classical Theory of Estimation
- Chapter 3. Testing Hypotheses for a Single Parameter
- Chapter 8. Asymptotic theory for Maximum Likelihood Estimation
- Chapter 11. Asymptotic Hypothesis Test
Textbook: Li, B. and Babu, G. J. (2019), "A Graduate Course on Statistical Inference", Springer. References: 1. Keener, R. W. (2010), "Theoretical Statistics: Topics for a Core Course", Springer. 2. Tattar, P. N., Ramaiah, S., and Manjunath, B. G. (2016), "A Course in Statistics with R", Wiley. The pdf files for these three books can be downloaded from the NCTU library.
- 地點
- A416
- 時間
- Every Tuesday from 1:20 p.m. to 3:10 p.m.
- 聯絡方式
- E-mail address: cchen@stat.nctu.edu.tw Office phone number: (03) 571-2121 Ext. 31794 or (03) 573-1794