Multivariate Statistical Science

Kohei Adachi (Graduate School of Human Sciences)

Capacity
   At most thirty students

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. Clustering;
   6. Maximum Likelihood Method;
   7. Factor Analysis;
   8. Path Analysis;
   9. Structural Equation Modeling

Course Content
   Learning the foundtions and applications of multivariate statistical analysis

Textbooks
   A textbook is now written so that it is completed in August, 2015.

Grading Policy
   Asseessed by a final reprot