Parents

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Bruce W. Schmeiser grad student 1982 Purdue (MathTree)
 (Monte Carlo Estimation of the Sampling Distribution of Nonlinear Parameter Estimators)

Children

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Jan Lyons grad student 2004 UAH
Michael B. Nix grad student 2005 UAH
Nitin S. Sharma grad student 2011 UAH
Gregg T. Hanold grad student 2013 UAH
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Publications

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Harris GA, Anderson MD, Farrington PA, et al. (2012) Developing Freight Analysis Zones at a State Level: A Cluster Analysis Approach Journal of the Transportation Research Forum. 49: 59
Sharma NS, Harris GA, Anderson MD, et al. (2010) Freight data mining strategy using socio-economic variables for metropolitan planning Proceedings - 2010 Ieee International Conference On Granular Computing, Grc 2010. 396-401
Sharma NS, Swain JJ. (2010) Network-based computational load sharing strategy for simulation optimization Iie Annual Conference and Expo 2010 Proceedings
Lovelace CR, Swain JJ. (2009) Process capability analysis methodologies for zero-bound, non-normal process data Quality Engineering. 21: 190-202
Lovelace CR, Swain JJ, Zeinelabdin H, et al. (2009) Lower confidence limits for process capability indices Cp and Cpk when data are autocorrelated Quality and Reliability Engineering International. 25: 663-700
Wilhite AW, Gholtson SE, Farrington PA, et al. (2008) Evaluating technology projections and weight prediction method uncertainty of future launch vehicles Journal of Spacecraft and Rockets. 45: 587-591
Wu HH, Swain JJ. (2001) A Monte Carlo comparison of capability indices when processes are non-normally distributed Quality and Reliability Engineering International. 17: 219-231
Wu HH, Swain JJ, Farrington PA, et al. (1999) Weighted variance capability index for general non-normal processes Quality and Reliability Engineering International. 15: 397-402
Tokol G, Goldsman D, Ockerman DH, et al. (1998) Standardized Time Series L P -Norm Variance Estimators for Simulations Management Science. 44: 234-245
Wilson JR, Brunner DT, Swain JJ. (1996) The Winter Simulation Conference: the premier forum on simulation practice and theory Acm Sigsim Simulation Digest. 25: 6-10
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