Ronald K. Klimberg, Ph.D.

Professor, Decision & System Sciences
Specializations: Analytics--statistics, quantitative techniques including forecasting, optimization, efficiency analysis, data mining, and management science techniques
Office: 345 Mandeville Hall
Phone: (610) 660-1625
Fax: (610) 660-1229
Email: klimberg@sju.edu


Ronald (Ron) K. Klimberg, Ph.D. is a Professor in the Decision and System Sciences Department of the Haub School of Business at Saint Joseph's University, USA.   Professor Klimberg received his B.S. in Information Systems from the University of Maryland, his M.S. in Operations Research from George Washington University, and his Ph.D. in Systems Analysis and Economics for Public Decision-Making from the Johns Hopkins University.  Before joining the faculty of Saint Joseph=s University in 1997, he was a professor at Boston University (10 years), an operations research analyst for the Food and Drug Administration (FDA) (10 years) and a consultant (7 years).  Ron was the 2007 recipient of the Tengelmann Award for his excellence in scholarship, teaching, and research.

 

His research has been directed toward the development and application of quantitative methods, e.g., statistics, forecasting, data mining, and management science techniques, such that the results add value to the organization and the results are effectively communicated. 

Dr.Klimberg published 3 books, including  Fundamentals of Predictive Analytics using JMP, edited 10 books and over 70 articles and has made over 70 presentations at national and international conferences in the areas of management science, business intelligence, business analytics, information systems, statistics, data mining and operations management.  In addition, Ron has over 20 years of consulting providing statistical and analytical support to private and public organizations.  Dr. Klimberg expertise is directed toward the development and application of quantitative methods, e.g., statistics, forecasting, optimization, efficiency analysis, data mining, and management science techniques, such that the results add value to the organization and the results are effectively communicated.  He is currently a member of INFORMS, DSI, and MCDM.

 

Examples of some of his projects:

  • Performed statistical analyses of small and several large data sets.
  • Developed a model to evaluate the magnitude of fraud.
  • Developed a business model and decision support system to forecast future business.
  • Developed a model to assist management in determining when to dredge a river.
  • Developed models to objectively measure the financial burden faced by water systems and to weigh the health effects of regulating drinking water contaminants.
  • Developed models to reveal good practices of several surgical specialties for various hospitals.
  • Developed a forecasting model to predict hourly product sales as input to a production planning system. 
  • Developed a simulation model of wheelchair usage in a large hospital;
  • Developed a decision support system to determine the amount management should charge for services.
  • Developed models to predict the likelihood of a violation and a decision support system to determine how to allocate resources.
  • Developed a computer model to aid management in budget process.

 

 

 

Education

B.S. in Information Systems from the University of Maryland

M.S. in Operations Research from George Washington University

Ph.D. in Systems Analysis and Economics for Public Decision-Making from the Johns Hopkins University. 

Courses Taught

Business Statistics

Business Analytics

Data Mining

Data Analytics

Advanced Business Analytics

Quantitative Methods for Business

Advanced Decision-Making Tools

Forecasting

Research Skills

Decision Making Competencies

DSS210, DSS220, DSS435, DSS440, DSS610, DSS660, DSS581, DSS592
 

Publications

Lawrence, K. and R. Klimberg (eds). Contemporary Perspectives in Data Mining, Volume 3, IAP, 2018.

 

Lawrence, K. and R. Klimberg (eds). Advances in Business and Management Forecasting, Volume 12, Emerald Press, London, 2018.

 

Klimberg, R. and B. D. McCullough, Fundamentals of Predictive Analytics with JMP, SAS Press, 2nd edition, 2016.

 

Lawrence, K. and R. Klimberg (eds). Advances in Business and Management Forecasting, Volume 11, Emerald Press, London, 2016.

 

Miori, V.,Klimberg, R. and S. Ratick, Business Analytics for Private and Public Sectors, 2nd edition, ebook 2016

 

Lawrence, K. and R. Klimberg (eds). Contemporary Perspectives in Data Mining, Volume 2, IAP, 2015.

 

Miori, V.,Klimberg, R. and S. Ratick, Business Analytics for Private and Public Sectors,1st edition, ebook 2015

69: Klimberg, R. K. and Samuel Ratick, “Support Capabilities in Excel", Applications of Management Science, Volume 19, 2018, accepted journal will be published later this year (2018).  

 

68: Sullivan, E. L., Sillup, G. P. and R. K. Klimberg, “Reduction of Agitation and Anxiety Observed in a Cases Study of People with Dementia using TimeSlips, under waiting to be published, International Journal of Behavioral and Healthcare Research

 

67:  Klimberg, R. K. and Samuel Ratick, “Development of a practical and effective forecasting performance measure,” Advances in Business and Management Forecasting, Volume 12, 2018, pp. 103-118. 

 

66:  Klimberg, R.K., Ratick, S. and H. Smith, “A novel approach to forecasting regression and cluster analysis,” Advances in Business and Management Forecasting, Volume 12, 2018, pp. 87-101. 

 

65: Klimberg, R. K., Pollack, R. and R. Herschel, “Why We Need Analytics Grand Rounds,” Contemporary Perspectives in Data Mining, Volume 3, IAP, 2018, pp. 147-159.

 

64: Klimberg, R. K., “Teaching a data mining course in a business school,” Contemporary Perspectives in Data Mining, Volume 2, IAP, 2015, pp. 81-97.

 

63: Sullivan, E. L., Sillup, G. P. and R. K. Klimberg, “Using the Analytical Hierarchical Process to Determine the Optimal Scale to Assess People with Dementia Pre and Post Timeslips Sessions,” Application of Management Science, Vol. 17, 2015, pp. 127-147.

 

Pollack, R., Klimberg, R. and S Boklage, “The True Cost of ‘Free’ Statistical Software,” ORMS Today, October 2015, Volume 42, No.5. pp.34-35.

 

53:  Klimberg, R., Pollack, R. and S. H. Boklage, “Open-Source Statistical Packages:  The True Cost of “Free” Software,” INFORMS 2015 Annual Meeting, November 2015, Philadelphia, PA.

 

52:  Klimberg, R., Ragdale, C.,  Cochran, J. and K. Scheibe, “Encouraging Professionalism in the Classroom,” (panelist), INFORMS 2015 Annual Meeting, November 2015, Philadelphia, PA.

 

51:  Klimberg, R. “Teaching Business Intelligence/Business Analytics in a Business School,” , NEDSI, March 2015, Boston, MA.

Grants and Awards

2007 recipient of the Tengelmann Award

Research

My research has been directed toward the development and application of quantitative methods, e.g., statistics, forecasting, data mining, and management science techniques, such that the results add value to the organization and the results are effectively communicated.