Bibliography

Found 12 results
Title Type [ Year(Asc)]
Filters: First Letter Of Title is F  [Clear All Filters]
2018
Shmueli, G., and I. Yahav, "The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees", Production and Operations Management, vol. 27, pp. 696–716, 2018.
2016
Kenett, R. S., and G. Shmueli, "From Quality to Information Quality in Official Statistics", Journal of Official Statistics, vol. 32, issue 4, pp. 1–19, 2016.
2013
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. PDF icon ICIOMS 2013 Malaysia Paper ID 28.pdf (513.9 KB)
2010
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)
Jank, W., and G. Shmueli, "Forecasting Online Auctions using Dynamic Models", Data Mining for Business Applications, no. 218: IOS Press, pp. 137-148, 2010. PDF icon IOS-BookChapter-Jank & Shmueli.pdf (102.47 KB)
2008
Hyde, V., W. Jank, and G. Shmueli, "A Family of Growth Models for Representing the Price Process in Online Auctions", Statistical Methods in eCommerce Research: John Wiley & Sons, 2008. PDF icon GrowthModelsFinal.pdf (994.83 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.
2007
Hyde, V., W. Jank, and G. Shmueli, "A Family of Growth Models for Representing the Price Evolution in Online Auctions", 9th Intl Conference on Electronic Commerce, Minneapolis, MA, 2007.
2006
Jank, W., and G. Shmueli, "Functional Data Analysis in Electronic Commerce Research", Statistical Science, vol. 21, issue 2, pp. 155-166, 2006.