105年第1學期-5425 多變量統計分析 課程資訊

課程分享

選課分析

本課程名額為 70人,已有12人選讀,尚餘名額58人。

評分方式

評分項目 配分比例 說明
midterm 40
final 40
homework 20

授課教師

沈葆聖

教育目標

The objective of this course is to equip students with the fundamental concepts of multivariate analysis and coding skill, which is helpful in their research.Topics covered include basic probability theory, introduction of random variables, basic statistical inference (estimation and testing hypothesis), principle component analysis, factor analysis, discriminant analysis, cluster analysis, and categorical data 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
2. Applied Multivariate Statistical Analysis (sixth edition),
Richard A. Johnson and Dean W. Wichern