99年第1學期-4324 多變量統計分析 課程資訊

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評分方式

評分項目 配分比例 說明
midterm 50
report 50

選課分析

本課程名額為 70人,已有18 人選讀,尚餘名額52人。

授課教師

沈葆聖

教育目標

We emphasize the applications of multivariate methods and consequently attemp to make the mathematics as palatable as possible. We also emphasize the skill of writing SAS coding for analyzing data. It is hoped that the student can enhance their knowlege in mulitivariate analysis.

課程概述

The topics of this course include (1) Basic concepts of modeling, estimation and testing (2) Factor analysis; (3) Discrimination analysis; (4) Cluster analysis; (5) MANOVA ;(6) Corresponding analysis; (7) SAS coding. Midterm:40%; Final:40%; HW:20% Text: (1) Applied multivariate statistical analysis by R. A. Johnson (2) Applied multivariate techniques by Subhash Sharma (3) SAS coding and data analysis by Pao-sheng Shen

課程資訊

參考書目

1. SAS統計軟體與資料分析 (By Pao-sheng Shen)
2. Applied Multivariate Statistical Analysis (By Richard Johnson and Dean Wichern)