本課程之目的在於訓練學生正確使用統計方法，應用於業界或其它研究領域之相關資料分析。對於分析結果之闡釋以及報告之撰寫，亦為課程訓練之重點。課程所涉及之統計方法包括迴歸分析、類別資料分析、時間序列、多變量分析等。
The course will cover a selection of the following topics:
1. the analysis of categorical data
2. the analysis of time series data
3. the analysis of multivariate dataThe purpose of this course is to train students to use statistical methods correctly and apply them to relevant data analysis in the industry or other research fields. The highlights of the analysis results and the writing of reports are also the focus of course training. The statistical methods involved in the course include reproduction analysis, category data analysis, time sequence, multi-variance analysis, etc.
The course will cover a selection of the following topics:
1. the analysis of category data
2. the analysis of time series data
3. the analysis of multivariate data
1. Applied Linear Regression Models (Fourth Edition), by Kutner, Nachtsheim, and Neter
2. Time Series Analysis and its applications with R examples (Fourth Edition), by Robert H. Shumway, David S. Stoffer.
3. Applied multivariate statistical analysis (Sixth Edition), by Richard A. Johnson and Dean W. Wichern.
1. Applied Linear Regression Models (Fourth Edition), by Kutner, Nachtsheim, and Neter
2. Time Series Analysis and its applications with R examples (Fourth Edition), by Robert H. Shumway, David S. Stoffer.
3. Applied multivariate statistical analysis (Sixth Edition), by Richard A. Johnson and Dean W. Wichern.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| AttendanceAttendance Attendance |
20 | |
| Midterm Midterm Midterm |
40 | |
| Final Final Final |
40 |
