Shmueli, G., and S. E. Fienberg, "Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Bio-Surveillance", Statistical Methods in Counter-Terrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication, New York, Springer, 2006.

Murphy, S., H. S. Burkom, and G. Shmueli, "Data Adaptive Multivariate Control Charts for Routine Health Monitoring", Syndromic Surveillance Conference (in Advances in Disease Surveillance, 1:53), 2006.

Kadane, J. B., R. Krishnan, and G. Shmueli, "A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution", Management Science, vol. 52, issue 10, pp. 1610-1617, 2006. Manuscript (136.11 KB)

Sellers, K. F., and G. Shmueli, "Data Dispersion: Now You See it... Now You Don't", Communications in Statistics: Theory and Methods, vol. 42, issue 17, pp. 2434-2447, 2013. SubmittedRevision.pdf (261.2 KB)

Sellers, K. F., and G. Shmueli, "Data Dispersion: Now You See it... Now You Don't", Working Paper RHS 06-122: Smith School of Business, University of Maryland, 2010.

Gupta, R., R. Sekhar, L. Reddi, and G. Shmueli, "Data Liberation Via Visualization: Migration in India", Second Open Data Camp, Hyderabad, India, 23/06/2012. Poster_ODC.pdf (2.9 MB)

Shmueli, G., P. C. Bruce, and N. R. Patel, Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, 3, New Jersey, John Wiley & Sons, 2016.

Shmueli, G., P. C. Bruce, P. Gedeck, and N. R. Patel, Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python, 1, New Jersey, John Wiley & Sons, 2019.

Shmueli, G., P. C. Bruce, I. Yahav, N. R. Patel, and K. C. Lichtendahl, Jr., Data Mining for Business Analytics: Concepts, Techniques, and Applications in R, 1, New Jersey, John Wiley & Sons, 2017.

Shmueli, G., P. C. Bruce, M. L. Stephens, and N. R. Patel, Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 1, New Jersey, John Wiley & Sons, 2016.

Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, 2, New Jersey, John Wiley & Sons, 2010.

Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, 1st edition: John Wiley & Sons, 2006.

Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner [Korean Edition]: SciTech, 2009.

Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner [Indian Edition], 1st edition: Wiley India, 2008.

Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner [Korean 2nd Edition], 2nd: E & B Plus, pp. 480, 2012.

Dass, M., W. Jank, and G. Shmueli, "Dynamic Price Forecasting In Simultaneous Online Art Auctions", Marketing Intelligent Systems Using Soft Computing: Managerial and Research Applications, no. 258: Springer, pp. 417-445, 2010. Casillas Martinez-Lopez 2010 book chapter.pdf (1.74 MB)

Jank, W., G. Shmueli, and S. Wang, "Dynamic, Real-time Forecasting of Online Auctions via Functional Models", Proceedings of 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , 2006.

Goldenberg, A., G. Shmueli, R. A. Caruana, and S. E. Fienberg, "Early Statistical Detection of Anthrax Outbreaks by Tracking Over-the-Counter Medication Sales", Proceeding of the National Academy of Sciences, vol. 99, issue 8, pp. 5237-5240, 2002.

Borle, S., P. Boatwright, J. B. Kadane, J. C. Nunes, and G. Shmueli, "The Effect of Product Assortment Changes on Customer Retention", Marketing Science, vol. 24, issue 4, pp. 616-622, 2005. SSRN-id991959.pdf (102.3 KB)

Chatla, S.B., and G. Shmueli, "Efficient estimation of COM–Poisson regression and a generalized additive model", Computational Statistics & Data Analysis, vol. 121, pp. 71–88, 2018.