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Amita
Singh :
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Amita Singh,
Doctoral Candidate
EMSE Department
1776 G Street NW, Room 139
Washington, DC 20052
Phone: (202) 994-1563
email: amitas@gwu.edu |
Publications:
- A. Singh, J.
Rene van Dorp and T.A.Mazzuchi (2007). "A
Novel Assymetric Distribution with Power Tails", Communications
in Statistics, Theory and Methods, Vol. 36 (2), pp. 235-252.
- J.R. van Dorp,
A. Singh and T.A. Mazzuchi (2006). "The
Doubly-Pareto Uniform Distribution with Applications in Uncertainty
Analysis and Econometrics", Mediterranean Journal of Mathematics,
Vol. 3 (2), pp. 205-225.
- Merrick, J. R.
W., J. Rene van Dorp and A. Singh (2005). “Analysis
of Correlated Expert Judgments from Pairwise Comparisons”.
Decision Analysis, Vol. 2 (1), pp. 17-29.
- P. Szwed, J.
Rene van Dorp, J.R.W.Merrick, T.A. Mazzuchi and A. Singh (2006). “A
Bayesian Paired Comparison Approach for Relative Accident Probability
Assessment with Covariate Information”, European Journal
of Operations Research, Vol. 169 (1), pp. 157-177.
Ms. Singh completed
her doctoral degree requirements in Systems Engineering in May 2007
at the George Washington University, Washington DC under Dr. René
van Dorp. Her research involved studying
and modelling leptokurtic behavior in financial data. She was also
a member of Dr van Dorp’s research team, funded by his National
Science Foundation Grant "Speaking the Truth in Maritime Risk Assessment".
The Maritime Risk Assessment model has been presented in journal papers
and at INFORMS conferences.
Previously, Ms Singh
was with Caminus Corporation’s Strategic Consulting team (now
Sungard Energy) in New York where she advised clients on business opportunities
and risk management practices in the North American Electricity markets.
Before joining Caminus, she worked with the Wholesale Power group at
ICF Consulting where she led the development team on electricity price
forecasting and portfolio valuation models.
Ms. Singh holds
a Master’s degree in Operations Research and a Bachelor’s
degree in Mathematics.
Currently, Ms. Singh
holds a research position at LMI.
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