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Amita Singh :

Amita Singh, Doctor of Science email: amitas@gwu.edu

Publications:

1. 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.
2. 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.
3. 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.
4. 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.

Amita Singh received her doctorate in 2007. Her thesis titled “The Doubly-Pareto Uniform Distribution” (DPU) investigated the behavior of probability distributions when applied to heavy tailed data typically observed in the financial as well as biometric data. Noticing scope for improved quality of fit of theoretical distributions to empirical data, she developed a new continuous univariate distribution by taking a heavy right tailed income distribution- the Pareto distribution, “flipping” it to achieve the left tail parameters, and conjoining with a uniform distribution. This mixture distribution allows for both left and right heavy tail capture as well as peaked behavior. She demonstrated an overall slight preference for the DPU over the Gaussian, Pearson type-IV and the Skew Generalized Normal distribution in terms of calculation of density parameters while not compromising the fit to empirical data.

Her academic focus has been in the field of Applied Mathematics/Operations Research. She received her Bachelor’s degree from Delhi University in Mathematics. Her Master’s degree is in Operations Research and Doctorate is in Systems Engineering from George Washington University in Washington DC. As an adjunct faculty member at George Washington University she has taught courses in Decision Analysis, Finance, and Statistical Methods in Cost Estimation.

During her professional career in management consulting, she has provided consulting services to clients in the energy sector and the U.S Federal Government. Her area of specialization is using statistical tools to develop engineering economic analyses, budgeting and policy assessments, cost uncertainty and risk assessments of capital-intensive infrastructure projects. While at LMI’s Infrastructure and Engineering Management practice, she has worked with U.S. Federal Agencies in developing project cost estimates and cost escalation indexes, re-designing budgets, establishing spending benchmarks, and assisting management on developing human resource policy. During her time at ICF and Caminus, she worked with power generation companies and investment banks to develop asset valuation studies for acquisition and construction of power generation facilities. Presently Dr. Singh is a Director at StudioFYNN where she manages the financial operations and leads the research for developing strategic market entry assessments of Asian emerging markets for North American and European based companies. She also assists NGOs such as Chintan Environment and Research Group with analyzing and implementing organizational improvements.

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