105年第1學期-5425 多變量統計分析 課程資訊
評分方式
| 評分項目 | 配分比例 | 說明 |
|---|---|---|
| midterm | 40 | |
| final | 40 | |
| homework | 20 |
選課分析
本課程名額為 70人，已有12 人選讀，尚餘名額58人。
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授課教師
沈葆聖教育目標
The objective of this course is to equip students with the fundamental concepts of multivariate analysis and coding skill, which is helpful in their research.Topics covered include basic probability theory, introduction of random variables, basic statistical inference (estimation and testing hypothesis), principle component analysis, factor analysis, discriminant analysis, cluster analysis, and categorical data analysis.
課程概述
The topics of this course include (1) Basic concepts of modeling, estimation and testing (2) Factor analysis;
(3) Discrimination analysis; (4) Cluster analysis; (5) MANOVA ;(6) Corresponding analysis; (7) SAS coding.
Midterm:40%; Final:40%; HW:20%
Text: (1) Applied multivariate statistical analysis by R. A. Johnson
(2) Applied multivariate techniques by Subhash Sharma
(3) SAS coding and data analysis by Pao-sheng Shen
課程資訊
基本資料
必選課，學分數：3-0
上課時間：一/1,2,3[M115]
修課班級：生科博, 生態碩1
修課年級：年級以上
選課備註：
教師與教學助理
授課教師：沈葆聖
大班TA或教學助理：尚無資料
Office HourFri. 10:20-12:00, or by appointment.
Office: M430
授課大綱
授課大綱：開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
1. SAS 統計軟體與資料分析
2. Applied Multivariate Statistical Analysis (sixth edition),
Richard A. Johnson and Dean W. Wichern
開課紀錄
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