Bibliography

Found 169 results
[ Title(Asc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
D
Shmueli, G., P. C. Bruce, I. Yahav, N. R. Patel, and K. C. Lichtendahl, Jr., Data Mining for Business Analytics: Concepts, Techniques, and Applications in R, 1, New Jersey, John Wiley & Sons, 2017.
Shmueli, G., P. C. Bruce, P. Gedeck, and N. R. Patel, Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python, 1, New Jersey, John Wiley & Sons, 2019.
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. PDF icon Poster_ODC.pdf (2.9 MB)
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", Communications in Statistics: Theory and Methods, vol. 42, issue 17, pp. 2434-2447, 2013. PDF icon SubmittedRevision.pdf (261.2 KB)
Kadane, J. B., R. Krishnan, and G. Shmueli, "A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution", Management Science, vol. 52, issue 10, pp. 1610-1617, 2006. PDF icon Manuscript (136.11 KB)
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.
C
Shmueli, G., and S. E. Fienberg, "Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Bio-Surveillance", Statistical Methods in Counter-Terrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication, New York, Springer, 2006.
Bapna, R., W. Jank, and G. Shmueli, "Consumer Surplus in Online Auctions", Informations Systems Research, vol. 19, issue 4, pp. 400-416, 12/2008. PDF icon consumerSurplusOnlineAuctionsRevised ISR-2006-181-R2-Final.pdf (486.44 KB)PDF icon Tracking Consumer Savings on eBay — bits.blogs_.nytimes.pdf (84.05 KB)PDF icon Study shows eBay buyers save billions of dollars.pdf (87.47 KB)PDF icon Report_ eBay Sales Prices Wildly Low — www.wired_.pdf (102.03 KB)
Kadane, J. B., G. Shmueli, T. P. Minka, S. Borle, and P. Boatwright, "Conjugate Analysis of the Conway-Maxwell-Poisson Distribution", Bayesian Analysis, vol. 1, issue 2, pp. 363-374, 2006. PDF icon kadane363-374.pdf (183.73 KB)
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., "Computing Consecutive-Type Reliabilities Non-Recursively", IEEE Transactions on Reliability, vol. 52, issue 3, pp. 367-372, 2003. PDF icon IEEE printed version.pdf (326.85 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. PDF icon COM-Poisson Survey (581.27 KB)
Fienberg, S. E., and G. Shmueli, "Comment on "A Bayesian Dynamic Model for Influenza Surveillance" by Sebastiani, Mandl, Szolovits, Kohane, and Ramoni", Statistics in Medicine, vol. 25, issue 11, pp. 1821-1822, 2006.
"Clarifying the terminology that describes scientific reproducibility", Nature Methods, vol. 12, issue 8, pp. 699, 2015. PDF icon Kenett Shmueli nmeth 8 2015.pdf (994.33 KB)
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.
B
Zhu, L., K. F. Sellers, D. S. Morris, and G. Shmueli, "Bridging the Gap: A Generalized Stochastic Process For Count Data", The American Statistician, vol. 71, issue 1, pp. 71-80, 2017.
Tafti, A., and G. Shmueli, "Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure", Information Systems Research, vol. 31, issue 4, pp. 1183–1199, 2020.
Shmueli, G., R. P. Russo, and W. Jank, "The BARISTA: A Model for Bid Arrivals in Online Auctions", Annals of Applied Statistics, vol. 1, issue 2, pp. 412-441, 2007. Office spreadsheet icon BARISTA datasets.xls (1.23 MB)

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