We evaluate the efficiency of one long run versus independent replications in steady-state discrete-event simulation, assuming that an initial portion of each replication will be deleted to allow the process to approach steady state. We provide supporting evidence in favor of one long run, but...

Policymakers often rely on non-pecuniary, information-based programs to achieve social objectives. Using data from a water conservation information campaign implemented as a randomized controlled trial, we estimate heterogeneous household responses. Understanding such heterogeneity is important...

Simulation is widely used to investigate real-world systems in a large number of fields, including clinical trials for drug development, since real trials are costly, frequently fail and may lead to serious side effects. This paper is a survey of the statistical issues arising in these simulated...

Consumer products and services can often be described as mixtures of ingredients. Examples are the mixture of ingredients in a cocktail and the mixture of different components of waiting time (e.g., in-vehicle and out-of-vehicle travel time) in a transportation setting. Choice experiments may...

We report data from a two-stage prediction game, where the accuracy of predictions (in the first stage) regarding die roll outcomes (in the second stage) is rewarded using a proper scoring rule. Thus, given the opportunity to self-report the die roll outcomes, participants have an incentive to...

We present evidence from a laboratory experiment showing that individuals who believe they were treated unfairly in an interaction with another person are more likely to cheat in a subsequent unrelated game. Specifically, subjects first participated in a dictator game. They then flipped a coin...

In this paper a technique for decision support for selecting a physical configuration are presented. This technique is useful during the redesign of a proposed restructuring of production processes resulted in a BPR approach. Based on the use of simulation and from the traditional experimental...

In this paper, we provide a quantitative approach to Frequency Domain Methodology (FDM) using harmonic analysis. For a certain class of metamodels, we give the frequency domain hypothesis and develop the corresponding hypothesis test. Minimum simulation model run length information for FDM is...

Linear regression analysis is important in many fields. In the analysis of simulation results, a regression (meta)model can be applied, even when common pseudorandom numbers are used. To test the validity of the specified regression model, Rao (1959) generalized the F statistic for lack of fit,...