B9106-001: (PhD) Applied Multivariate Statistics
T - Full Term, 09:00AM to 12:15PM
Credit hours: 3.0
Location: URI 329
Instructor: Kamel Jedidi
Multivariate statistical techniques are important tools of analysis in all fields of management. This course is designed to provide students with a working knowledge of the basic concepts underlying the most important multivariate techniques, an overview of actual applications in various fields and experience in actually using such techniques on a problem of their own choosing. The course addresses both the underlying mathematics and problems of applications. As such, a reasonable level of competence in both statistics and mathematics is needed to take this course.
Kamel Jedidi
John A. Howard Professor of Business
Kamel Jedidi is the John Howard Professor of Business at Columbia Business School, New York. He holds a bachelor’s degree in Economics from University of Tunis and Master and Ph.D. degrees in Marketing and Statistics from the Wharton School, University of Pennsylvania. Dr. Jedidi has extensively published in leading marketing and statistical journals. His research interests...