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| 平時考 | 30 | 包括上機考(5%) |
| 期中考 | 35 | |
| 期末考 | 35 |
Giving the overview of Multivariate Data Analysis and insights into Multivariate Data Analysis components. Main topics include: 1.Basic Statistics. 2.Dependence Method. 3.InterDependence Methods. 4.Structural Model. 5.Case Exercise.
學習多變量統計分析之基礎理論與實務應用. Chapter 2- Matrix Algebra /矩陣代數 Chapter 4- Multivariate Normal Distribution /多變量常態分配 Chapter 6- Comparisons of Several Multivariate Means /多變量平均數比較 Chapter 7- Multivariate Linear Regression Models /多變量線性迴歸模型 Chapter 8- Principal Components /主成份 Chapter 9- Factor Analysis /因子分析 Chapter 10- Canonical Correlation Analysis /典型相關分析 Chapter 11- Discriminant and Classification /區別與分類 Chapter 12- Clustering /群集
Textbook: Applied Multivariate Statistical Analysis by Richard A. Johnson and Dean W. Wichern.