課程概述 |
課程名稱:多變項分析 Multivariate Analysis
課程編號:227 U1010 學分:3
授課教師:翁儷禎
課程大綱:
此課程將介紹一般常用多變項分析方法之原理以及應用,並以SAS軟體分析資料與解釋分析結果。課程評分包含作業、課堂討論、期末考等,課程內容包括以下等各主題。
1. Matrix algebra
2. Exploratory data analysis
3. Hotelling’s T2 and MANOVA
4. Discriminant analysis
5. Multiple regression
6. Canonical correlation analysis
7. Principal component analysis
8. Factor analysis
9. Path analysis
10. Structural equation modeling
11. Cluster analysis
12. Multidimensional scaling
參考文獻:
林清山(民77)。多變項分析統計法,五版。台北市:台灣東華。
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate data analysis: With readings, 4th ed. Englewood Cliffs, NJ: Prentice Hall.
Johnson, D. E. (1998). Applied multivariate methods for data analysis. Pacific Grove, CA: Duxbury Press.
Johnson, R. A., & Wichern, D. W. (1998). Applied multivariate statistical analysis, 4th ed. London: Prentice-Hall International.
Sharma, S. (1996). Applied multivariate techniques. New York: John Wiley.
Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics, 3rd ed. New York: HarperCollins Publishers.
Tatsuoka, M. M. (1988). Multivariate analysis, 2nd ed. New York: Macmillan.
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