Bibliography

Found 12 results
Title Type [ Year(Asc)]
Filters: Author is Yahav, I.  [Clear All Filters]
2014
Yahav, I., and G. Shmueli, "Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurvelliance", Quality and Reliability Engineering International, vol. 30, issue 2, pp. 159-179, 2014. PDF icon Manuscript (732.57 KB)
2007
Yahav, I., and G. Shmueli, An Elegant Method for Generating Multivariate Poisson Data, 10/2007.
Yahav, I., and G. Shmueli, "Algorithm Combination for Improved Performance in Biosurveillance Systems", Intelligence and Security Informatics: Biosurveillance, vol. 4506, pp. 91-102, 2007.
2011
Yahav, I., T. Lotze, and G. Shmueli, "Algorithm Combination for Improved Detection in Biosurveillance", Infectious Disease Informatics and Biosurveillance: Integrated Series in Information Systems, 1, vol. 27: Springer, pp. 173-189, 2011. PDF icon 143493_1_En_8_Chapter_OnlinePDF.pdf (1.55 MB)
2012
Yahav, I., and G. Shmueli, "On Generating Multivariate Poisson Data in Management Science Applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 1, pp. 91-102, 2012. PDF icon Multivariate-Poisson ASMBI 2012.pdf (1.52 MB)
2010
Yahav, I., and G. Shmueli, "Predicting Potential Survival Rates of Kidney Transplant Candidates From Databases With Existing Allocation Policies", 5th INFORMS Workshop on Data Mining and Healh Informatics, Austin, TX, 05/11/2010. PDF icon INFORMS 2010 DMHI.pdf (123.33 KB)
2011
Yahav, I., and G. Shmueli, "Outcomes Matter: Estimating Pre-Transplant Survival Rates of Kidney-Transplant Patients Using Simulation-Based Propensity Scores", Working Paper RHS 06-137: Smith School of Business, University of Maryland, 2011.
2009
Yahav, I., and G. Shmueli, "On Generating Multivariate Poisson Data in Management Science Applications", Working Paper RHS 06-085: Smith School of Business, University of Maryland, 2009.
2007
Yahav, I., and G. Shmueli, "Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurveillance", Working Paper RHS 06-059: Smith School of Business, University of Maryland, 2007.