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多變量分析、類別資料分析、存活分析、抽樣調查、迴歸分析等。經由系上統計諮詢或其它資料來源訓練學生諮詢技巧和資料分析之能力.The 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 multi-variance analysis, category data analysis, survival analysis, sampling survey, replication analysis, etc. Inquiry skills and data analysis ability of students from the department's statistical inquiry or other data sources.
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。經由系上統計諮詢或其它資料來源訓練學生諮詢技巧和資料分析之能力。
The 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. Inquiry skills and data analysis ability of students from the department's statistical inquiry or other data sources.
1、陳景祥，R 軟體:應用統計方法(二版)
2. Categorical Data Analysis (by Alan Agresti)
3.Applied Linear Regression Models (by Kutner, Nachtsheim and Neter)
4. Survival Analysis: Techniques for Censored and Truncated Data
(by Klein, John P., Moeschberger, Melvin L.)
5. Design of Experiments: Statistical Principles of Research Design
and Analysis (by R. O. Kuehl)
6. Applied Multivariate Statistical Analysis (By Richard Johnson and Dean Wichern)
1. Chen Jingxiang, R software: application statistical method (second edition)
2. Categorical Data Analysis (by Alan Agresti)
3.Applied Linear Regression Models (by Kutner, Nachtsheim and Neter)
4. Survival Analysis: Techniques for Censored and Truncated Data
(by Klein, John P., Moeschberger, Melvin L.)
5. Design of Experiments: Statistical Principles of Research Design
and Analysis (by R. O. Kuehl)
6. Applied Multivariate Statistical Analysis (By Richard Johnson and Dean Wichern)
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| midtermmidterm midterm |
30 | |
| finalfinal Final |
30 | |
| HomeworkHomework homework |
40 |
