Michael Brusco

Synovus Professor of Business Administration
Michael Brusco
Faculty
Location
359 RBB
Phone
850-644-6512
Academic Specialty
Business Analytics
Education

Ph.D., Florida State University, 1990
MBA, Florida State University, 1986
BBA, Florida Atlantic University, 1985
A.A., Broward Community College, 1982

Areas of Expertise

Clustering
Scheduling
Linear ordering

Dr. Brusco’s current research focuses on clustering, network analysis, and variable/feature selection in the psychological and behavioral sciences.

Selected Published Research

Brusco, M. (2019). An Excel spreadsheet and VBA macro for model selection and predictor importance using all-possible-subsets regression. Spreadsheets in Education, 12 (1), Retrieved from: https://sie.scholasticahq.com/article/8064-an-excel-spreadsheet-and-vba-macro-for-model-selection-and-predictor-importance-using-all-possible-subsets-regression

Brusco, M. (2018). Demonstrating the mechanics of principal component analysis via spreadsheets. Spreadsheets in Education, 11 (1), Retrieved from: https://sie.scholasticahq.com/article/6895-demonstrating-the-mechanics-of-principal-component-analysis-via-spreadsheets

Brusco, M. J., & Doreian, P. (2019). Partitioning signed networks using relocation heuristics, tabu search, and variable neighborhood search. Social Networks, 56 (January), 70-80.

Brusco, M. J., Voorhees, C. M., Calantone, R. J., Brady, M. K., & Steinley, D. (2019). Integrating linear discriminant analysis, polynomial basis expansion, and genetic search for two-group classification. Communications in Statistics – Simulation and Computation, 48 (6), 1623-1636.

Brusco, M. J., Steinley, D., Stevens, J., & Cradit, J. D. (2019). Affinity propagation: an exemplar-based tool for clustering in psychological research. British Journal of Mathematical and Statistical Psychology, 72 (1), 155-182.

Brusco, M. J., Cradit, J. D., & Steinley, D. (in press). Combining diversity and dispersion criteria for anticlustering: a bicriterion approach. British Journal of Mathematical and Statistical Psychology.

Brusco, M. J., Steinley, D., & Stevens, J. (in press). K-medoids inverse regression. Communications in Statistics – Theory and Methods.

Brusco, M. J., Cradit, J. D., & Brudvig, S. (in press). An integrated dominance analysis and dynamic programming approach for measuring predictor importance for customer satisfaction. Communications in Statistics – Theory and Methods.

Brusco, M. J., Steinley, D., & Köhn, H.-F. (in press). Residual analysis for unidimensional scaling in the L2-norm. Communications in Statistics – Simulation and Computation.

Brusco, M. J., Johns, T. R., & Venkataraman, R. (2018). LP-based working subsets for personnel scheduling: evaluation and augmentation. European Journal of Industrial Engineering, 12 (2), 175-198