99年第2學期-1390 多變量分析 課程資訊

課程分享

選課分析

本課程名額為 70人,已有66人選讀,尚餘名額4人。

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

授課教師

劉家頤

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.

課程資訊

參考書目

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