Bio

James Wilson has been a member of the Industrial and Systems Engineering faculty at North Carolina State University since 1991. He served as head of the department from 1999 to 2007.

Area(s) of Expertise

Jim Wilson's research interests include probabilistic and statistical issues in the design and analysis of large-scale simulation experiments, including: modeling, estimation, and generation of stochastic input processes; analysis of output processes; improving simulation efficiency using variance reduction techniques; optimization using multiple-comparison and search procedures; and applying all these techniques to the analysis of production systems.

Publications

• Estimating Confidence Intervals and Regions for Quantiles in Steady‐State Simulations , Naval Research Logistics (NRL) (2026)
• SQSTS: A sequential procedure for estimating steady-state quantiles using standardized time series , Journal of Simulation (2024)
• A Sequential Method for Estimating Steady-State Quantiles Using Standardized Time Series , 2022 Winter Simulation Conference (WSC) (2022)
• Estimating Confidence Regions for Distortion Risk Measures and Their Gradients , 2022 Winter Simulation Conference (WSC) (2022)
• Confidence Intervals and Regions for Quantiles using Conditional Monte Carlo and Generalized Likelihood Ratios , (2020)
• Improving chemotherapy infusion operations through the simulation of scheduling heuristics: a case study , Health Systems (2020)
• Steady-State Quantile Estimation Using Standardized Time Series , (2020)
• Modeling and Simulation of Nonstationary Non-Poisson Arrival Processes , INFORMS journal on computing (2019)
• Sequest: A Sequential Procedure for Estimating Quantiles in Steady-State Simulations , (2019)
• Simulation model of the relationship between cesarean section rates and labor duration , Health Care Management Science (2018)

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