His primary scientific interests are in Mathematical optimization, Selection, Stochastic simulation, Design of experiments and Algorithm. His research in Mathematical optimization intersects with topics in Measure, Sample and Finite set. His Selection course of study focuses on Multiple comparisons problem and Variance reduction.
His Stochastic simulation study combines topics from a wide range of disciplines, such as Stochastic programming, Data mining and Confidence interval. Barry L. Nelson usually deals with Design of experiments and limits it to topics linked to Sampling and Simulation software and Expected value. While the research belongs to areas of Software, Barry L. Nelson spends his time largely on the problem of Theoretical computer science, intersecting his research to questions surrounding Discrete event simulation.
His primary areas of study are Mathematical optimization, Statistics, Stochastic simulation, Selection and Algorithm. His study in Mathematical optimization is interdisciplinary in nature, drawing from both Design of experiments, Stochastic process, Finite set, Queueing theory and Metamodeling. His study looks at the relationship between Statistics and topics such as Econometrics, which overlap with Uncertainty analysis.
His Stochastic simulation research includes themes of Simulation software and Applied mathematics. In his study, Measure is inextricably linked to Ranking, which falls within the broad field of Selection. The concepts of his Algorithm study are interwoven with issues in Univariate, Software, Series and Marginal distribution.
The scientist’s investigation covers issues in Mathematical optimization, Selection, Algorithm, Stochastic simulation and Ranking. His Mathematical optimization research incorporates themes from Set, Control, Queueing theory, Applied mathematics and Local convergence. His Selection research integrates issues from Situated, Ranking, Finite set and Continuous optimization.
His Algorithm study integrates concerns from other disciplines, such as Stochastic process, Estimator and Frequentist inference. His studies deal with areas such as Simulation optimization, Parallel simulation, Artificial intelligence, Metamodeling and Machine learning as well as Stochastic simulation. The Simulation optimization study combines topics in areas such as Discrete event simulation, State and Industrial engineering.
Selection, Econometrics, Simulation, Measure and Mathematical optimization are his primary areas of study. His research integrates issues of Ranking, Ranking, Finite set and Embarrassingly parallel in his study of Selection. He has included themes like Data modeling, Stochastic process and Theoretical computer science in his Ranking study.
His biological study deals with issues like Uncertainty analysis, which deal with fields such as Estimator and Univariate. The Discrete event simulation research Barry L. Nelson does as part of his general Simulation study is frequently linked to other disciplines of science, such as Product, therefore creating a link between diverse domains of science. His Mathematical optimization research incorporates elements of Multivariate random variable, Marginal distribution, Spearman's rank correlation coefficient, Parametric family and Multivariate statistics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Discrete-Event System Simulation
Jerry Banks;John S. Carson;Barry L. Nelson;David M. Nicol.
Indication of Electron Neutrino Appearance from an Accelerator-produced Off-axis Muon Neutrino Beam
K. Abe;N. Abgrall;Y. Ajima;H. Aihara.
Physical Review Letters (2011)
The T2K Experiment
K. Abe;N. Abgrall;H. Aihara;Y. Ajima.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment (2011)
Stochastic kriging for simulation metamodeling
Bruce Ankenman;Barry L. Nelson;Jeremy Staum.
winter simulation conference (2008)
A fully sequential procedure for indifference-zone selection in simulation
Seong-Hee Kim;Barry L. Nelson.
ACM Transactions on Modeling and Computer Simulation (2001)
Simple Procedures for Selecting the Best Simulated System When the Number of Alternatives is Large
Barry L. Nelson;Julie Swann;David Goldsman;Wheyming Song.
Operations Research (2001)
Statistical Analysis of Simulation Results
Barry L. Nelson.
Discrete Optimization via Simulation Using COMPASS
L. Jeff Hong;Barry L. Nelson.
Operations Research (2006)
ACM Transactions on Modeling and Computer Simulation: Guest Editorial
Michael Fu;Barry L Nelson.
ACM Transactions on Modeling and Computer Simulation (2003)
Stochastic Modeling, Analysis and Simulation
Barry L. Nelson.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: