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Applied Multivariate Statistical Analysis
Release Date: 2017-09-221. 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 Fundamental 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.