We present a novel method for deriving tight Monte Carlo confidence intervals for solutions of stochastic dynamic programming equations. Taking some approximate solution to the equation as an input, ...

Vol. 40, No. 5, The 2009 Daniel H. Wagner Prize for Excellence in Operations Research Practice (September-October 2010), pp. 342-352 (11 pages) Schneider National needed a simulation model that would ...

A first introduction to probability and statistics. This course will provide background to understand and produce rigorous statistical analysis including estimation, confidence intervals, hypothesis ...

Operations research is a multidisciplinary field that applies mathematical and analytical techniques to aid decision‐making in complex systems. By developing mathematical models, employing statistical ...