Kenett, R. S., and G. Shmueli, "Rejoinder: On Information Quality", JRSS A, vol. 177, issue 1, pp. 35-38, 2014.

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)

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)

Hardoon, D. R., and G. Shmueli, Getting Started with Business Analytics: Insightful Decision Making: Chapman and Hall/CRC, pp. 190, 2013.

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

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., 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., and R. S. Kenett, "An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies", Intelligent Data Analysis and Management (IDAM), Kaohsiung, Taiwan, 09/09/2013. InfoQ_IDAM_2013.pdf (179.21 KB)

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.

Lin, M., H. C. Lucas, and G. Shmueli, "Too Big To Fail: Large Samples and the P-Value Problem", Information Systems Research, vol. 24, issue 4, pp. 906-917, 2013. Article (269.29 KB)

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

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)

Gupta, R., R. Sekhar, L. Reddi, and G. Shmueli, "Data Liberation Via Visualization: Migration in India", Second Open Data Camp, Hyderabad, India, 23/06/2012. Poster_ODC.pdf (2.9 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 [Korean 2nd Edition], 2nd: E & B Plus, pp. 480, 2012.

Yahav, I., and G. Shmueli, "On Generating Multivariate Poisson Data in Management Science Applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 1, pp. 91-102, 2012. Multivariate-Poisson ASMBI 2012.pdf (1.52 MB)

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.

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)

Shmueli, G., "Review of "Fundamentals of Clinical Trials, 4th edition" by Friedman, Furberg, and Demets", Journal of the American Statistical Association (JASA), vol. 107, issue 497, 2012. Book review JASA Clinical Trials.pdf (45.32 KB)

Shmueli, G., and C. Soares, "Teaching Data Mining in the Business School: Experience from Three Continents", Teaching Machine Learning Workshop, ICML, Edinburgh, Scotland, UK, June 2012. ICML 2012 Teaching BS vs CS.pdf (413.83 KB)

Gupta, R., D. Mani, S. Mithas, and G. Shmueli, "Tree Matching Solution for Self-Selection in Impact Surveys", Statistical Challenges in Ecommerce Research (SCECR), Montreal, Canada, 28/06/2012. SCECR 2012 Poster Tree Matching for Self-Selection in Impact Surveys.pdf (807.52 KB)