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., 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.

Dass, M., W. Jank, and G. Shmueli, "Dynamic Price Forecasting In Simultaneous Online Art Auctions", Marketing Intelligent Systems Using Soft Computing: Managerial and Research Applications, no. 258: Springer, pp. 417-445, 2010. Casillas Martinez-Lopez 2010 book chapter.pdf (1.74 MB)

Jank, W., G. Shmueli, M. Dass, I. Yahav, and S. Zhang, "Statistical Challenges in eCommerce: Modeling Dynamic and Networked Data", Tutorials in Operations Research: INFORMS, 2008. INFORMS Tutorials-2008-CD-chapter03.pdf (711.96 KB)

Bose, S., G. Shmueli, P. Sur, and P. Dubey, "Fitting COM-Poisson Mixtures to Bimodal Count Data", 1st International Conference on Information, Operations Management and Statistics (ICIOMS), Kuala Lumpur, Malaysia, 01/09/2013. ICIOMS 2013 Malaysia Paper ID 28.pdf (513.9 KB)

Dass, M., W. Jank, and G. Shmueli, "Maximizing Bidder Surplus in Simultaneous Online Art Auctions via Dynamic Forecasting", International Journal on Forecasting, vol. 27, issue 4, pp. 1259-1270, 2011.

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)

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

Dillard, B. L., and G. Shmueli, "Wavelet-Based Monitoring for Disease Outbreaks and Bioterrorism: Methods and Challenges", InterStat, vol. 3, issue March, 2010.

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.