Sellers, K. F., and G. Shmueli, "Predicting Censored Count Data with COM-Poisson Regression", Working Paper RHS 06-129: Smith School of Business, University of Maryland, 2010.

Sellers, K. F., and G. Shmueli, "A Regression Model for Count Data with Observation-Level Dispersion", 24th International Workshop on Statistical Modelling (IWSM), Cornell University, Ithaca, NY, 20/07/2009. SellersAndShmueliForIWSM2009-1.pdf (161.9 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., S. Borle, and G. Shmueli, "The COM-Poisson Model for Count Data: A Survey of Methods and Applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 2, pp. 104-116, 2012. COM-Poisson Survey (581.27 KB)

Sellers, K. F., S. Borle, and G. Shmueli, "Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 2, pp. 128-129, 2012. REJOINDER COM-Poisson Survey Paper submitted.pdf (79.1 KB)

Sellers, K. F., and G. Shmueli, "A Flexible Regression Model for Count Data", Annals of Applied Statistics, vol. 4, issue 2, pp. 943-961, 2010. Supplementary Materials (126.65 KB) AOAS COM-Regression.pdf (405.74 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.

Sellers, K. F., and G. Shmueli, "A Flexible Regression Model for Count Data", Working Paper RHS 06-060: Smith School of Business, University of Maryland, 2008.

Sharma, P., M. Sarstedt, G. Shmueli, K. H. Kim, and K. O. Thiele, "PLS-based model selection: the role of alternative explanations in information systems research", Journal of the Association for Information Systems, vol. 20, issue 4, 2019.

Sharma, P., G. Shmueli, M. Sarstedt, N. Danks, and S. Ray, "Prediction-Oriented Model Selection in Partial Least Squares Path Modeling", Decision Sciences, 2019.

Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [Indian Edition]", Practical Analytics: Axelrod Schnall, pp. 208, 2014.

Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", MIS Quarterly, vol. 35, issue 3, pp. 553-572, 2011. MISQ-Predictive-Analytics-in-IS-Shmueli-Koppius -2011.pdf (303.74 KB)

Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [3rd Edition]", Practical Analytics: Axelrod Schnall, 2016.

Shmueli, G., W. Jank, A. Aris, C. Plaisant, and B. Shneiderman, "Exploring Auction Databases through Interactive Visualization", Decision Support Systems, vol. 42, issue 3, pp. 1521-1538, 2006. DSS AuctionExplorer PrintVersion.pdf (1.68 MB)

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., "Run Related Probability Functions and Their Application to Industrial Statistics", Faculty of Industrial Engineering & Management, vol. PhD, Haifa, Technion - Israel Institute of Technology, 06/2000.

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., "Wavelet-based Monitoring in Modern Biosurveillance", Working Paper RHS-06-002: Smith School of Business, University of Maryland, 2005.

Shmueli, G., R. Saha, and R. Gupta, "Industry-academia partnerships", ORMS Today (INFORMS Magazine), issue August, pp. 32-34, 2013. Industry-Academia Partnerships ORMS Today Aug 2013.pdf (1.59 MB)

Shmueli, G., T. Lotze, and I. Yahav, "Simulating Multivariate Syndromic Time Series and Outbreak Signatures", Working Paper RHS-06-054: Smith School of Business, University of Maryland, 2007.