Course Catalog

Summer 2009

B8832-001: (PhD) Applied Multivariate Statistics

M - Full Term, 09:00AM to 12:15PM
Location: URI 328

Instructor: kamel jedidi

Download Syllabus

View textbook info

View course evaluation

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

Kamel Jedidi

John A. Howard Professor of Business

Professor Jedidi has taught New Product Development, Marketing Research, Managing Marketing Programs, and Applied Multivariate Statistics. He has extensively published in leading marketing, statistics, and psychometric journals, the most recent of which have appeared in the Journal of Marketing Research, Marketing Science, Management Science, the International Journal of Research in Marketing, and Psychometrika. His substantive research interests include pricing, new product development, and market segmentation. His methodological interests lie in structural equation modeling and Bayesian and finite-mixture models. His research on the long-term impact of advertising and promotions won the 2000 Marketing Science Institute Best Paper Award and also won the 1998 Best Paper Award of the International Journal of Research in Marketing. He was also finalist for 2009 Paul Green Award for the Journal of Marketing Research and for the 2009 Long-term Impact Paper Award for Marketing/Management Science. Professor Jedidi has conducted seminars at several business conferences and universities. He has also spoken at and consulted with several multinational companies.

View full profile