Courses I teach regularly:
Math 113 - Applied Statistics
Math 213 - Applied Regression Analysis
Math 325 - Probability and Math 326 - Mathematical Statistics.
My research interests:
Multivariate Statistics - in particular Cluster Analysis, a method of determining naturally occurring groups located in the data.
|Directional Statistics - this deals with statistics based on data that is constrained to lie on the circumference of a sphere. Examples, would be time of day, wind direction, etc.
Sample student projects I have supervised:
-Evaluating the Robustness of Competing Clustering Algorithms
-Investigating the convergence rate of sampling distributions from skewed populations
-Analyzing Fantasy Football Mock Drafts
Examples of presentations, exhibitions, performances and published work:
-A Guitar Hero Based Project in Mathematical Statistics. CAUSEweb.org Activity Webinar Series. May 25, 2010.
-Maitra, R. and Ramler, I. P. (2010). A k-mean-directions algorithm for fast clustering of data on the sphere. Journal of Computational and Graphical Statistics. 19 (2): 377 - 396.
-Maitra, R., and Ramler, I. P. (2009). Clustering in the Presence of Scatter. Biometrics. 65, 341 – 352.
