Bibliography

Found 205 results
Title Type [ Year(Desc)]
Filters: First Letter Of Last Name is S  [Clear All Filters]
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 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., 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.
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.
Yahav, I., and G. Shmueli, "On Generating Multivariate Poisson Data in Management Science Applications", Working Paper RHS 06-085: Smith School of Business, University of Maryland, 2009.
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. PDF icon IJF2009 ForecastingBiosurveillance.pdf (2.19 MB)
Kenett, R. S., and G. Shmueli, "On Information Quality", Working Paper (RHS 06-100) Smith School of Business, University of Maryland,, 2009.
Shmueli, G., and W. Jank, "Modeling Dynamics in Online Auctions: A Modern Statistical Approach", Economics, Information Systems and Electronic Commerce: Empirical Research, Armonk, NY, M. E. Sharpe, pp. 157-180, 2009.
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. PDF icon SellersAndShmueliForIWSM2009-1.pdf (161.9 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. PDF icon SellersAndShmueliForIWSM2009-1.pdf (161.9 KB)
Jank, W., and G. Shmueli, "Studying Heterogeneity of Price Evolution in eBay Auctions Via Functional Clustering", Business Computing, vol. 3: Emerald, pp. 237-261, 2009.
Shmueli, G., "To Explain or To Predict?", Working Paper (RHS 06-099) Smith School of Business, University of Maryland, 2009.
Lin, M., H. C. Lucas, and G. Shmueli, "Too Big to Fail: Larger Samples and False Discoveries", Working Paper RHS 06-068: Smith School of Business, University of Maryland, 2009.
2010
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., 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.
Shmueli, G., N. R. Patel, and P. C. Bruce, Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, 2, New Jersey, John Wiley & Sons, 2010.
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. PDF icon Casillas Martinez-Lopez 2010 book chapter.pdf (1.74 MB)
Jank, W., G. Shmueli, and S. Zhang, "A Flexible Model for Estimating Price Dynamics in Online Auctions", JRSS C, vol. 59, issue 5, pp. 781-804, 2010. PDF icon JRSSC_2010.pdf (852.14 KB)
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. PDF icon Supplementary Materials (126.65 KB)PDF icon AOAS COM-Regression.pdf (405.74 KB)
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. PDF icon Supplementary Materials (126.65 KB)PDF icon AOAS COM-Regression.pdf (405.74 KB)

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