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To Explain or to Predict
- Galit Shmueli
- Philosophy
- 5 January 2011
TLDR
A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution
- Galit Shmueli, T. Minka, J. Kadane, Sharad Borle, Peter Boatwright
- Mathematics
- 1 January 2005
Summary. A useful discrete distribution (the Conway–Maxwell–Poisson distribution) is revived and its statistical and probabilistic properties are introduced and explored. This distribution is a…
Predictive Analytics in Information Systems Research
- Galit Shmueli, O. Koppius
- BusinessMIS Q.
- 31 July 2010
TLDR
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
- Galit Shmueli, M. Sarstedt, C. Ringle
- BusinessEuropean Journal of Marketing
- 11 November 2019
TLDR
Research Commentary - Too Big to Fail: Large Samples and the p-Value Problem
- Mingfeng Lin, H. Lucas, Galit Shmueli
- BusinessInf. Syst. Res.
- 1 December 2013
TLDR
To Explain or To Predict?
- Galit Shmueli
- Biology
- 24 May 2010
TLDR
A Flexible Regression Model for Count Data
- Kimberly F. Sellers, Galit Shmueli
- Mathematics
- 4 December 2008
Poisson regression is a popular tool for modeling count data and is applied in a vast array of applications from the social to the physical sciences and beyond. Real data, however, are often over- or…
Statistical Challenges Facing Early Outbreak Detection in Biosurveillance
- Galit Shmueli, H. Burkom
- MedicineTechnometrics
- 1 February 2010
TLDR
Consumer Surplus in Online Auctions
- R. Bapna, Wolfgang Jank, Galit Shmueli
- EconomicsInf. Syst. Res.
- 20 December 2007
TLDR
Automated time series forecasting for biosurveillance
- H. Burkom, S. Murphy, Galit Shmueli
- Environmental ScienceStatistics in medicine
- 30 September 2007
TLDR
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