99年第2學期-1390 多變量分析 課程資訊

評分方式

評分項目	配分比例	說明
作業	15
小考1	20
小考2	20
期中考	20
期末考	25

教育目標

預計講授內容大致包括以下數項： (1). 多變量資料介紹與矩陣運算之複習。 (2). 多變量常態分配。 (3). 多變量變異數分析，profile analysis。 (4). Principal Component Analysis。 (5). Factor Analysis。 (6). Discriminant Analysis。 (7). Clustering。 (8). Multidimensional Scaling (MDS) 。 (9). LISREL 方法。

課程概述

Fields in the biological, physical and social sciences frequently collect observations involved several variables. Data analysis on such cases becomes truly fascinating and challenging. Modern computer packages readily provide the techniques for complex statistical data analysis. Therefore, we integrate several aspects of computer usage into the course for illustration. This course contains an understanding of the basic knowledge and well-developed statistical theories necessary for selecting appropriate techniques in a wide variety of application environments. Some topics including principal analysis, factor analysis, canonical correlation analysis, discriminant analysis, clustering and classification analysis etc. are contained in the course.

基本資料

必修課，學分數：0-3
上課時間：二/6,7,五/1[M228]
修課班級：統計系3B
修課年級：年級以上
選課備註：

參考書目

Johnson and Wichern, 2007, Applied Multivariate Statistical Analysis, 6th. ed., 雙葉。