6185 - 統計推論
Statistical Inference
教育目標 Course Target
培養學生統計理論的了解與證明能力
Cultivate students’ understanding and proof ability of statistical theory
課程概述 Course Description
統計推論是博士班的必修課程，也是學生學習統計理論的核心課程，為其他統計相關課程的理論基礎，課程主要培養學生紮實的統計理論與具備從事研究的能力。課程內容包括機率理論和統計推論兩部分，其中機率部分介紹基本定義、定理、分配與各種收斂有關的大樣本理論，而統計部分介紹點估計、區間估計與假設檢定等各種相關的理論與方法。
Statistical inference is a required course for doctoral classes and a core course for students to learn statistical theory. It serves as the theoretical basis for other statistics-related courses. The course mainly cultivates students' solid statistical theory and the ability to engage in research. The course content includes two parts: probability theory and statistical inference. The probability part introduces basic definitions, theorems, distribution and various convergence-related large sample theories, while the statistics part introduces various related theories and methods such as point estimation, interval estimation and hypothesis testing.
參考書目 Reference Books
Statistical Inference 2nd Edition by Casella and Berger
Statistical Inference 2nd Edition by Casella and Berger
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
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作業 Homework |
40 | |
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期中考 midterm exam |
25 | |
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期末考 final exam |
25 | |
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出席狀況與平時表現 Attendance status and usual performance |
10 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 6185
- 學分 Credit: 3-3
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上課時間 Course Time:Wednesday/6,7,8[M438]
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授課教師 Teacher:蔡承翰
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修課班級 Class:統計博2
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