Type of Credit: Elective
Credit(s)
Number of Students
Multivariate statistical analysis refers to statistical techniques that are used to study the joint behavior of many variables at the same time.
能力項目說明
In this two-semester course, we'll give the multivariate statistical techniques such as multiple linear regression models, principle component analysis, factor analysis, canonical analysis and discrimination and classification and their theory behind these techniques. In addition, students will also learn how to use statistical software to analyze the data. It is expected that students should be able to determine and use the appropriate technique to answer and explain the multivariate data they are given.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
Week Topic Content and Reading Teaching Activities Student workload Assignment and Homework _______________________________________________________________________________________________
Homework will be Students are expected assigned in the class to spend 9 hours/week . . outside of class
|
（請填寫每週次的授課內容及授課方式）
|
1. class participation: 20%
2. home work: 40%
3. projects: 40%
All are subject to change.
Applied Mltivariate Statistical Analysis (2014) by Johnson and Wichern 6 th edition
Reference book: Applied Linear Regression Models (2004) by Kutner, Nachtssheim, and Neter 4th edition