Bibliography

Found 166 results
Title [ Type(Asc)] Year
Filters: Author is G Shmueli  [Clear All Filters]
Working Paper
Shmueli, G., and I. Yahav, The Forest or the Trees? Tackling Simpson's Paradox with Classification and Regression Trees, : Indian School of Business, 2014.
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.
Yahav, I., and G. Shmueli, "Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurveillance", Working Paper RHS 06-059: Smith School of Business, University of Maryland, 2007.
Yahav, I., and G. Shmueli, An Elegant Method for Generating Multivariate Poisson Data, , 10/2007.
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.
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.
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.
Thesis
Shmueli, G., "Run Related Probability Functions and Their Application to Industrial Statistics", Faculty of Industrial Engineering & Management, vol. PhD, Haifa, Technion - Israel Institute of Technology, 06/2000.
Magazine Article
Shmueli, G., R. Saha, and R. Gupta, "Industry-academia partnerships", ORMS Today (INFORMS Magazine), issue August, pp. 32-34, 2013. PDF icon Industry-Academia Partnerships ORMS Today Aug 2013.pdf (1.59 MB)
Journal Article
Dillard, B. L., and G. Shmueli, "Wavelet-Based Monitoring for Disease Outbreaks and Bioterrorism: Methods and Challenges", InterStat, vol. 3, issue March, 2010.
Shmueli, G., "Wavelet-Based Monitoring for Biosurveillance", Axioms, vol. 2, issue 3, pp. 345-370, 2013.
Shmueli, G., and W. Jank, "Visualizing Online Auctions", Journal of Computational and Graphical Statistics, vol. 14, issue 2, pp. 299-319, 2005. PDF icon JCGS Visualizing Online Auctions.pdf (923.45 KB)
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. PDF icon JRSS-COM-Poisson.pdf (278.49 KB)
Fu, J. C., G. Shmueli, and Y. M. Chang, "A Unified Markov Chain Approach for Computing the Run Length Distribution in Control Charts with Simple or Compound Rules", Statistics & Probability Letters, vol. 65, issue 4, pp. 457-466, 2003. PDF icon StatProbLettersPaper.pdf (246.79 KB)
Yahav, I., G. Shmueli, and D. Mani, "A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data", MIS Quarterly, vol. 40, issue 4, pp. 819-848, 2016.
Yahav, I., G. Shmueli, and D. Mani, "A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data", MIS Quarterly, vol. 40, issue 4, pp. 819-848, 2016.
Shmueli, G., W. Jank, and V. Hyde, "Transformations for Semi-Continuous Data", Computational Statistics & Data Analysis, vol. 52, issue 8, pp. 4000-4020, 2008. PDF icon CSDA-semiContinuousData.pdf (1.51 MB)
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. PDF icon Article (269.29 KB)
Shmueli, G., "To Explain or To Predict?", Statistical Science, vol. 25, issue 3, pp. 289-310, 2010. PDF icon Stat Science published.pdf (293.36 KB)
Shmueli, G., "To Explain or To Predict?", Working Paper (RHS 06-099) Smith School of Business, University of Maryland, 2009.

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