Count Data

Modeling Bi-Modal Count Data Using COM-Poisson Mixtures

Sur, P., P. Dubey, S. Bose, and G. Shmueli, "Modeling Bi-Modal Count Data Using COM-Poisson Mixtures", Applied Statistics, Ljubljana, Slovenia, September 2012.

Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications

Sellers, K. F., S. Borle, and G. Shmueli, "Rejoinder: 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. 128-129, 2012.

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Data Dispersion: Now You See it... Now You Don't

Sellers, K. F., and G. Shmueli, "Data Dispersion: Now You See it... Now You Don't", Communications in Statistics: Theory and Methods, In Press.

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Data Dispersion: Now You See it... Now You Don't

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.

Transformations for Semi-Continuous Data

Shmueli, G., W. Jank, and V. Hyde, "Transformations for Semi-Continuous Data", Working Paper RHS 06-051: Smith School of Business, University of Maryland, 2006.

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