Qualifications: Ph.D. Dortmund University of Technology Germany Statistics Master’s Degree Higher Institute of Management of Tunis Tunisia Sciences: Quantitative Methods in Management Bachelor’s Degree Institute of Advanced Business Studies of Carthage University Tunisia Management Sciences (finance)
Amor Messaoud is an associate professor of Quantitative Methods at Tunis Business School- University of Tunis. He received his Ph.D in Statistics from the Department of Statistics at Dortmund University of Technology, Germany, in 2006. His research interests include business analytics, engineering statistics, statistical process control, simulations modeling and risk analysis. He has a rich experience as a consultant for industrial companies.
Vencalek, O., Demni, H., Messaoud, A. & Porzio, G. C. (2020). On the optimality of the max-depth classifiers for spherical data. Submitted to the Applications in Mathematics (under review).
Weihs, C., Messaoud, A. & Raabe, N. (2010). Control charts based on models derived from differential equations. Quality and Reliability Engineering International, Volume. 26, Issue 8, pp. 807-816.
Messaoud, A. & Weihs, C. (2009). Monitoring a drilling process by nonlinear time series modeling. Journal of Sound and Vibration, Volume 321, Issues 3-5, pp. 620-630.
Messaoud, A., Theis, W., Weihs, C. & Hering, F. (2009). Monitoring of the BTA deep hole drilling process using residual control charts. Quality Engineering, Volume 21, Issue 1, pp. 1-9.
Messaoud, A., Weihs, C. & Hering, F. (2008). Detection of chatter vibration in a drilling process using multivariate control charts. Computational Statistics and Data Analysis, Volume 52, Issue 6. pp. 3208-3219.
Business Stats 1
Analytical Techniques in Business