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、時間序列等。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 course will cover a selection of the following topics:
1. the analysis of categorical data
2. the analysis of multivariate data
3. the analysis of survival 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 multi-variance analysis, category data analysis, survival analysis, sampling survey, replication analysis, time sequence, etc. Inquiry skills and data analysis ability of students from the department's statistical inquiry or other data source
The course will cover a selection of the following topics:
1. the analysis of category data
2. the analysis of multivariate data
3. the analysis of survival data
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. Categorical Data analysis (by Alan Agresti (third edition)
2. Applied Multivariate Techniques (By Subhash Sharma)
3. Survival Analysis Techniques for Censored and Truncated Data
(by Klein and Moeschberger)
1. Categorical Data analysis (by Alan Agresti (third edition)
2. Applied Multivariate Techniques (By Subhash Sharma)
3. Survival Analysis Techniques for Censored and Truncated Data
(by Klein and Moeschberger)
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| midterm midterm midterm |
50 | |
| finalfinal Final |
50 |
