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Multivariate Data Analysis-I

 

Multivariate Data Analysis – I

Syllabus – Spring, 2012-2013

 

Main Reference (Will be provided by a bookstore, contact the lecturer):

 Multivariate Data Analysis ,Joseph F. Hair (Author), William C. Black (Author), Barry J. Babin (Author), Rolph E. Anderson (Author), Pearson Education, 7th Edition, 2010


Week

Topics:

1.                   

Introduction

2.       

Basic Statistics review

3.                 

Multivariate methods and model building

4.                 

Cleaning and Transforming Data

5.                 

Factor analysis

6.                 

Simple and Multiple regression

7.                 

Article discussions

8.                 

MIDTERM EXAMINATION WEEK

9.                 

MIDTERM EXAMINATION WEEK

10.             

MANOVA

11.             

Multiple Discriminant Analysis

12.             

Logistic Regression

13.             

Cluster Analysis

14.             

Article discussions

15.             

FINAL EXAMINATION WEEK

16.             

FINAL EXAMINATION WEEK