To explain or to predict? G Shmueli Statistical Science 25 (3), 289-310, 2010 | 3515 | 2010 |
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict G Shmueli, M Sarstedt, JF Hair, JH Cheah, H Ting, S Vaithilingam, ... European journal of marketing 53 (11), 2322-2347, 2019 | 2274 | 2019 |
Predictive analytics in information systems research G Shmueli, OR Koppius Mis Quarterly 35 (3), 553-572, 2011 | 1669 | 2011 |
The elephant in the room: Predictive performance of PLS models G Shmueli, S Ray, JMV Estrada, SB Chatla Journal of Business Research 69 (10), 4552-4564, 2016 | 1316 | 2016 |
The Elephant in the Room: Evaluating the Predictive Performance of Partial Least Squares (PLS) Path Models G Shmueli, S Ray, JM Velasquez Estrada, S Chatla Available at SSRN 2659233, 2015 | 1316* | 2015 |
Research Commentary-Too Big to Fail: Large Samples and the p-Value Problem M Lin, HC Lucas Jr, G Shmueli Information Systems Research 24 (4), 906-917, 2013 | 1165 | 2013 |
A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution G Shmueli, TP Minka, JB Kadane, S Borle, P Boatwright Journal of the Royal Statistical Society: Series C (Applied Statistics) 54 …, 2005 | 695 | 2005 |
Data mining for business intelligence: Concepts, techniques, and applications in Microsoft Office Excel with XLMiner G Shmueli, NR Patel, PC Bruce John Wiley and Sons, 2011 | 673 | 2011 |
Data mining for business intelligence: Concepts, techniques, and applications in Microsoft Office Excel with XLMiner (2nd Edition) G Shmueli, NR Patel, PC Bruce John Wiley and Sons, 2011 | 661 | 2011 |
Data mining for business intelligence: concepts, techniques, and applications in Microsoft Office Excel with XLMiner (1st Edition) G Shmueli, NR Patel, PC Bruce John Wiley & Sons, 2007 | 661* | 2007 |
Data Mining for Business Analytics: Concepts, Techniques and Applications in Microsoft Excel with XLMiner (3rd Edition) G Shmueli, CB Peter, RP Nitin Wiley and Sons, 2016 | 502* | 2016 |
Data Mining for Business Analytics: Concepts, Techniques and Applications in Python G Shmueli, PC Bruce, P Gedeck, NR Patel John Wiley & Sons, 2019 | 367* | 2019 |
A flexible regression model for count data KF Sellers, G Shmueli The Annals of Applied Statistics 4 (2), 943-961, 2010 | 363 | 2010 |
The effect of product assortment changes on customer retention S Borle, P Boatwright, JB Kadane, JC Nunes, S Galit Marketing science 24 (4), 616-622, 2005 | 315 | 2005 |
Data mining for business analytics: concepts, techniques, and applications in R G Shmueli, PC Bruce, I Yahav, NR Patel, KC Lichtendahl Jr John Wiley & Sons, 2017 | 313 | 2017 |
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R G Shmueli, PC Bruce, I Yahav, NR Patel, KC Lichtendahl Jr John Wiley & Sons, 2017 | 313 | 2017 |
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro G Shmueli, PC Bruce, ML Stephens, NR Patel John Wiley & Sons, 2016 | 313* | 2016 |
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner (3rd Edition) G Shmueli, NR Patel, PC Bruce John Wiley & Sons, 2016 | 313* | 2016 |
Statistical challenges facing early outbreak detection in biosurveillance G Shmueli, H Burkom Technometrics 52 (1), 39-51, 2010 | 265 | 2010 |
Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales A Goldenberg, G Shmueli, RA Caruana, SE Fienberg Proceedings of the National Academy of Sciences 99 (8), 5237-5240, 2002 | 262 | 2002 |