Sur, P., G. Shmueli, S. Bose, and P. Dubey, "Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models", Journal of Business & Economic Statistics, vol. 33, issue 3, pp. 352-365, 2015. CMP_Mixture_Final_Unblinded.pdf (1.62 MB)

Sur, P., G. Shmueli, S. Bose, and P. Dubey, "Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models", ArXiv (Stat): Indian School of Business and Indian Statistical Institute, 2013.

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.

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., "Research Dilemmas With Behavioral Big Data", Big Data, vol. 5, issue 2, pp. 98-119, 2017.

Shmueli, G., "System-Wide Probabilities for Systems with Runs and Scans Rules", Methodology and Computing in Applied Probability, vol. 4, pp. 401-419, 2003. Mcap_5118753.pdf (989.79 KB)

Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", Working Paper RHS 06-138: Smith School of Business, University of Maryland, 2010.

Shmueli, G., "Review of "Fundamentals of Clinical Trials, 4th edition" by Friedman, Furberg, and Demets", Journal of the American Statistical Association (JASA), vol. 107, issue 497, 2012. Book review JASA Clinical Trials.pdf (45.32 KB)

Shmueli, G., R. P. Russo, and W. Jank, "The BARISTA: A Model for Bid Arrivals in Online Auctions", Annals of Applied Statistics, vol. 1, issue 2, pp. 412-441, 2007. BARISTA datasets.xls (1.23 MB)

Shmueli, G., and R. S. Kenett, "An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies", The 3rd International Workshop on Intelligent Data Analysis and Management (IDAM), Kaohsiung, Taiwan, Springer Verlag, pp. 1-13, 11/09/2013. InfoQ_IDAM_2013.pdf (179.21 KB)

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.