Multivariate Statistical Science

Kohei ADACHI (Graduate School of Human Sciences)

Cource Objective
   Learning the principles of multivariate statistical analysis prcedoures with matrices and vectors

Requirement / Prerequisite
   Understanding the mathematics for matrices and vectors of a high school level

Course Content

1. Introduction to Matrix Algebra;
2. Introduction to Statistics;
3. Regression Analysis;
4. Principal Component Analysis;
5. Cluster Analysis,
6. Maximum Likelihood Method;
7. Factor Analysis;
8. Path Analysis;
9. Structural Equation Modeling

Class Plan
   Learning the foundtions and applications of multivariate statistical analysis

Textbooks
   A textbook is now written so that it is completed in August, 2014.

Grading Policy
   Asseessed by a final reprot