Lotze, T., S. Murphy, and G. Shmueli, "Preparing Biosurveillance Data for Classic Monitoring", Advances in Disease Surveillance, vol. 6, 2008. DataPreparation AdvDisSurv.pdf (470.11 KB)

Lotze, T., G. Shmueli, and I. Yahav, "Simulating and Evaluating Biosurveillance Datasets", Biosurveillance: Methods and Case Studies: Chapman and Hall, 2010. Book Chapter (1.93 MB)

Lotze, T., and G. Shmueli, "How does improved forecasting benefit detection? An application to biosurveillance", International Journal on Forecasting, vol. 25, pp. 467-483, 2009. IJF2009 ForecastingBiosurveillance.pdf (2.19 MB)

Mani, D., and G. Shmueli, Impact Assessment in Observational Studies: A Classification and Regression Tree Approach: Indian School of Business, 2013.

Minka, T. P., G. Shmueli, J. B. Kadane, S. Borle, and P. Boatwright, "Computing with the COM-Poisson Distribution", Technical Report #776: Dept. of Statistics, Carnegie Mellon University, 2003.

Murphy, S., H. S. Burkom, and G. Shmueli, "Data Adaptive Multivariate Control Charts for Routine Health Monitoring", Syndromic Surveillance Conference (in Advances in Disease Surveillance, 1:53), 2006.

Rettinger, F., W. Jank, G. Tutz, and G. Shmueli, "Smoothing Sparse and Unevenly-Sampled Curves using Semiparametric Mixed Models: An Application to Online Auctions", Journal of The Royal Statistical Society, Series C (Applied Statistics), vol. 57, issue 2, pp. 127-148, 2008. JRSSC.57.2 (2008) 127-148.pdf (1.39 MB)

Russo, R. P., G. Shmueli, W. Jank, and N. D. Shyamalkumar, "Models For Bid Arrivals and Bidder Arrivals in Online Auctions", Methods and Applications of Statistics in Business, Finance and Management Sciences, Newark, NJ, John Wiley & Sons, pp. 293-309, 2010. FinanceHandbookShmueli.pdf (445.99 KB)

Russo, R. P., G. Shmueli, and N. D. Shyamalkumar, "Models of Bidder Activity Consistent with Self-Similar Bid Arrivals", Statistical Methods in eCommerce Research: John Wiley & Sons, 2008. RussoShmueliShyamalKumar BidderActivity-revised.pdf (242.37 KB)

Sellers, K. F., and G. Shmueli, "Data Dispersion: Now You See it... Now You Don't", Working Paper RHS 06-122: Smith School of Business, University of Maryland, 2010.

Sellers, K. F., S. Borle, and G. Shmueli, "Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 2, pp. 128-129, 2012. REJOINDER COM-Poisson Survey Paper submitted.pdf (79.1 KB)

Sellers, K. F., and G. Shmueli, "A Flexible Regression Model for Count Data", Working Paper RHS 06-060: Smith School of Business, University of Maryland, 2008.

Sellers, K. F., and G. Shmueli, "Predicting Censored Count Data with COM-Poisson Regression", Working Paper RHS 06-129: Smith School of Business, University of Maryland, 2010.

Sellers, K. F., and G. Shmueli, "A Flexible Regression Model for Count Data", Annals of Applied Statistics, vol. 4, issue 2, pp. 943-961, 2010. Supplementary Materials (126.65 KB) AOAS COM-Regression.pdf (405.74 KB)

Sellers, K. F., and G. Shmueli, "A Regression Model for Count Data with Observation-Level Dispersion", 24th International Workshop on Statistical Modelling (IWSM), Cornell University, Ithaca, NY, 20/07/2009. SellersAndShmueliForIWSM2009-1.pdf (161.9 KB)

Sellers, K. F., and G. Shmueli, "Data Dispersion: Now You See it... Now You Don't", Communications in Statistics: Theory and Methods, vol. 42, issue 17, pp. 2434-2447, 2013. SubmittedRevision.pdf (261.2 KB)

Sellers, K. F., S. Borle, and G. Shmueli, "The COM-Poisson Model for Count Data: A Survey of Methods and Applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 2, pp. 104-116, 2012. COM-Poisson Survey (581.27 KB)

Sharma, P., M. Sarstedt, G. Shmueli, K. H. Kim, and K. O. Thiele, "PLS-based model selection: the role of alternative explanations in information systems research", Journal of the Association for Information Systems, vol. 20, issue 4, 2019.

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

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.