Statistics

Applied Multivariate Statistical Analysis

Release Date: 2017-09-22

1. Basic Course Information

Course Title:Applied Multivariate Statistical Analysis
Course Code:109523
Credit Hours/Credits:48/3
Students:Undergraduate Students majoring in Statistics and Applied Statistics 
Prerequisites:Advanced Algebra,Probability Theory,Mathematical Statistics and the Foundation of Statistics
Subsequent Course(s):None
Course Category:Professional Foundamental Course
Assessment: final exam (70%) + Participation & Assignments (30%)

2. Course Introduction 

This course introduces the fundamental principles and methods of multivariate statistical analysis. The content includes: graphical representation of multidimensional data, cluster analysis, discriminate analysis, principal component analysis, factor analysis, correspondence analysis, multiple multivariate regression analysis and canonical correlation analysis.