Shmueli, G., and I. Yahav, "The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees", Production and Operations Management, vol. 27, pp. 696–716, 2018.

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., and K. C. Lichtendahl, Jr., "Practical Time Series Forecasting with R: A Hands-On Guide", Practical Analytics: Axelrod Schnall, pp. 208, 2015.

Shmueli, G., S. Ray, J. M. Velasqu Estrada, and S.B. Chatla, "The elephant in the room: Predictive performance of PLS models", Journal of Business Research, vol. 69, issue 10, pp. 4552–4564, 2016.

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., 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., "Practical Time Series Forecasting: A Hands-On Guide", Practical Analytics: Axelrod Schnall, 2011.

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., 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., 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, 1st edition: John Wiley & Sons, 2006.

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

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

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., and O. Koppius, "Predictive Analytics in Information Systems Research", ERN Economics of Networks eJournal, vol. 2, issue 56, 2010.

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., 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., "To Explain or To Predict?", Working Paper (RHS 06-099) Smith School of Business, University of Maryland, 2009.

Shmueli, G., and W. Jank, "Modeling Dynamics in Online Auctions: A Modern Statistical Approach", Economics, Information Systems and Electronic Commerce: Empirical Research, Armonk, NY, M. E. Sharpe, pp. 157-180, 2009.

Shmueli, G., W. Jank, and V. Hyde, "Transformations for Semi-Continuous Data", Working Paper RHS 06-051: Smith School of Business, University of Maryland, 2006.