Biblio

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Biosurveillance
Shmueli, G., "Wavelet-based Monitoring in Modern Biosurveillance", Working Paper RHS-06-002: Smith School of Business, University of Maryland, 2005.
data
data mining
large samples
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. Abstract
p-values
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. Abstract
practical significance
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. Abstract
Statistical modeling
statistical significance
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. Abstract
study design
study goal
visualization
Shmueli, G., and A. Cohen, "Analysis and Display of Hierarchical Life-Time Data", The American Statistician, vol. 53, issue 2, pp. 140-146, 1999.  Download: AMSTAT print version.pdf (504.85 KB)

Contact

Galit Shmuéli
SRITNE Chaired Professor
of Data Analytics
Associate Professor of Statistics & Information Systems
Indian School of Business
Gachibowli, Hyderabad 500 032
India

galit.shmueli@gmail.com