James R. Prairie; Balaji Rajagopalan; Terry J. Fulp; and Edith A. Zagona, M.ASCE. “Modified K-NN Model for Stochastic Streamflow Simulation,” Journal of Hydrologic Engineering, 11(4), July 1, 2006.

Erkyihun S.T., E Zagona, B. Rajagopalan, (2017). “Wavelet and Hidden Markov-Based Stochastic Simulation Methods Comparison on Colorado River Streamflow,” Journal of Hydrologic Engineering 2017, 22(9): ...

As large-scale discrete-event stochastic simulation becomes a tool that is used routinely for the design and analysis of stochastic systems, the need for input-modeling support with the ability to ...

Simulation research derives new methods for the design, analysis, and optimization of simulation experiments. Research on stochastic models develops and analyzes models of systems with random behavior ...

ABSTRACTInterval-based simulation (IBS) has been proposed to model input uncertainty in discrete-event simulation. The foundation of this new simulation paradigm is imprecise probability, which models ...

Allard, R W, Jain, S K, and Workman, P L. 1967. The population genetics of inbreeding species. Adv Genetics. (In press.). Allard, R W, and Workman, P L. 1963 ...

Stochastic volatility models are increasingly important in practical derivatives pricing applications, yet relatively little work has been undertaken in the development of practical Monte Carlo ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...