數理統計為統計系學生學習統計理論的核心課程，提供統計相關課程的理論根基，並且培養未 來修習更高深與統計相關之課程的能力，第二學期課程主題以統計推論為主，範圍包含：1. 充分性原則、概似性原則。2. 點估計方法與評估準則。3. 檢定方法與評估準則。4. 區間估計方法與評估準則。5. 貝氏統計。6. 漸近理論。Mathematical statistics are the core courses for students in the Department of Statistics to learn the theoretical foundation of the statistical related courses, and cultivate the ability to not take a higher level and statistical related course. The theme of the second period course is mainly statistical recommendations, and the scope includes: 1. Principles of adequacy and general similarity principles. 2. Point estimation method and evaluation criteria. 3. Confirmation method and evaluation criteria. 4. Regional estimation method and evaluation criteria. 5. Bets Statistics. 6. Comprehensive theory.
1. George Casella and Roger L. Berger (2002) Statistical Inference (2/E), Duxbury Press.
2. P.J. Bickel and K.A. Doksum (2001) Mathematical Statistics: basic ideas and selected topics (2/E), Prentice Hall.
3. Jun Shao (2003) Mathematical Statistics (2/E), Springer.
1. George Casella and Roger L. Berger (2002) Statistical Inference (2/E), Duxbury Press.
2. P.J. Bickel and K.A. Doksum (2001) Mathematical Statistics: basic ideas and selected topics (2/E), Prentice Hall.
3. Jun Shao (2003) Mathematical Statistics (2/E), Springer.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Exam - 1Exam - 1 Exam - 1 |
25 | |
| Exam - 2Exam - 2 Exam - 2 |
25 | |
| Exam - 3Exam - 3 Exam - 3 |
25 | |
| Exam - 4Exam - 4 Exam - 4 |
25 |
