Shmueli, G., W. Jank, and V. Hyde, "Transformations for Semi-Continuous Data", Computational Statistics & Data Analysis, vol. 52, issue 8, pp. 4000-4020, 2008. CSDA-semiContinuousData.pdf (1.51 MB)

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

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., 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., 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., and O. Koppius, "What is Predictive about Partial Least Squares?", Sixth Symposium on Statistical Challenges in eCommerce Research (SCECR), University of Texas at Austin, McCombs School of Business, TX, 05/06/2010. Conference Paper (285.09 KB)

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., "Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues", Quality Engineering, vol. 29, issue 1, pp. 57-74 and 88-90, 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., "Statistical Inference with Large (eCommerce) Datasets", Working Paper RHS 06-61: Smith School of Business, University of Maryland, 2008.

Shmueli, G., and A. Tafti, "How to “Improve” Prediction Using Behavior Modification", International Journal on Forecasting, vol. 39, issue 2, pp. 541-555, 2023.

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., 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., 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., "Practical Acceptance Sampling: A Hands-On Guide", Practical Analytics: Axelrod Schnall, 2011.

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., and O. Koppius, "The Challenge of Prediction in Information Systems Research", Working Paper RHS 06-152: Smith School of Business, University of Maryland, 2009.

Shmueli, G., and O. Koppius, "The Challenge of Prediction in Information Systems Research", Working Paper (RHS 06-058) : Smith School of Business, University of Maryland, 2009.

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