International Journal of Statistics and Applications

International Journal of Statistics and Applications is a fully refereed international journal, which publishes original research papers and survey articles in all areas of statistics and applications. It is a broad based journal covering all branches of statistical sciences and their applications in medical, agricultural, econometric, physical or social sciences and industry, commerce and government and other scientific disciplines.

Mohamed Amezziane

Editorial Board Member of International Journal of Statistics and Applications

Assistant Professor, DePaul University, USA

Research Areas

Asymptotic Statistics, Dimension Reduction Techniques, Financial Modeling, Kernel Estimation, Nonparametrci Inference, Probability Inequalities, Semiparametric Estimation, Shrinkage Estimation, Statistical Learning

Education

2000-2004Ph.DDoctorate of Philosophy in Mathematical Statistics,  Department of Mathematics, University of Central Florida, Orlando, Florida
1997-2000   M.Sc Master of Science Degree in Statistical Computing, Department of Statistics and Actuarial Science, University of Central Florida, Orlando, Florida

Experience

2005-PresentAssistant Professor, DePaul University
2005Post-Doctoral Research Associate, University of Central Florida

Publications: Conferences/Workshops/Symposiums/Journals/Books

[1]  Estimating Unemployment, The Encyclopedia of Mathematics and Society, Golson Media, New-York, 2011 (forthcoming).
[2]  A General and Fast Convergent Bandwidth Selection Method of Kernel Estimator. Journal of Nonparametric Statistics, 2007. (with I. A. Ahmad)
[3]  Estimation of Location and Scale Parameters Based on Kernel Functional Estimators, Nonparametric Statistics and Mixture Models: A Festschrift in Honor of Thomas P. Hettmansperger, World Scientific, 2011. (with I. A. Ahmad)
[4]  Modeling VoIP Traffic on Converged IP Networks with Dynamic Resource Allocation, International Journal of Communications, 2010. (with I. Ajarmeh and J. Yu)
[5]  Framework for Applying a Non-Homogeneous Poisson Process to Model VoIP Traffic on Tandem Networks, Proceedings of the 10th WSEAS International Conference on Applied Informatics, 2010. (with I. Ajarmeh and J. Yu)
[6]  Bandwidth Selection For Infinite Order Kernel Density Estimators. The Journal of Applied Probability and Statistics, 2011. (with T. L. McMurry)
[7]  Framework for Modeling Call Holding Time for VoIP Tandem Networks, Proceedings of the 54th IEEE Global Communications Conference, 2011. (with I. Ajarmeh and J. Yu)
[8]  Modeling Call Arrivals on VoIP Networks as Linear Gaussian Process under Heavy Traffic Condition, Proceedings of the 17th IEEE International Conference On Networks, 2011. (with I. Ajarmeh and J. Yu)
[9]  A Binomial Model for the Kernel Density Estimator, The Journal of Statistical Computing and Simulation, 2011.