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., and A. Cohen, "Algorithms Based on Runs in Statistical Quality Control: Applying Theoretical Results in the New Millennium", Productivity and Quality Management Frontiers, vol. IX: MCB University Press, pp. 354-355, 2000.

Shmueli, G., and H. Li, "Practical Time Series Forecasting: A Hands-On Guide [Chinese Edition] (时间序列预测实践教程)", Practical Analytics: Tsinghua University Press, 2012.

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., and I. Yahav, The Forest or the Trees? Tackling Simpson's Paradox with Classification and Regression Trees: Indian School of Business, 2014.

Shmueli, G., "Practical Time Series Forecasting: A Hands-On Guide [Kindle Edition]", Practical Analytics, Kindle Edition: Axelrod Schnall, 2011.

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

Shmueli, G., and A. Cohen, "Run Length Distribution for Control Charts with Runs Rules", Communications in Statistics - Theory & Methods, vol. 32, issue 2, pp. 475-495, 2003. CIS published version.pdf (295.77 KB)

Shmueli, G., "Practical Risk Analysis for Project Planning: A Hands-On Guide Using Excel", Practical Analytics: Axelrod Schnall, 2011.

Shmueli, G., and H. S. Burkom, "Statistical Challenges Facing Early Outbreak Detection in Biosurveillance", Technometrics (Special Issue on Anomaly Detection), vol. 52, issue 1, pp. 39-51, 2010. Previous version ("Statistical Challenges in Modern Biosurveillance") (381.03 KB) Published Version (751.05 KB)

Shmueli, G., "Wavelet-Based Monitoring for Biosurveillance", Axioms, vol. 2, issue 3, pp. 345-370, 2013.

Shmueli, G., "To Explain or To Predict?", Statistical Science, vol. 25, issue 3, pp. 289-310, 2010. Stat Science published.pdf (293.36 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.

Shmueli, G., P. C. Bruce, A. K. Deokar, and N. R. Patel, Machine Learning for Business Analytics: Concepts, Techniques, and Applications in RapidMiner, 1: John Wiley & Sons, 2023.

Shmueli, G., T. P. Minka, J. B. Kadane, S. Borle, and P. Boatwright, "A Useful Distribution for Fitting Discrete Data: Revival of the COM-Poisson", Journal of The Royal Statistical Society, Series C (Applied Statistics), vol. 54, issue 1, pp. 127-142, 2005. JRSS-COM-Poisson.pdf (278.49 KB)

Shmueli, G., "Statistical Inference with Large (eCommerce) Datasets", Working Paper RHS 06-61: Smith School of Business, University of Maryland, 2008.

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.

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.

Shmueli, G., W. Jank, and R. Bapna, "Measuring Consumer Surplus on eBay: An Empirical Study", Working Paper RHS-06-053: Smith School of Business, University of Maryland, 2007.

Shmueli, G., "Practical Acceptance Sampling: A Hands-On Guide [Indian Edition]", Practical Analytics, 2nd: Axelrod Schnall, 2014.