The bivariate measure of risk and error (BMORE) plot

Citations

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0

초록

We develop a graphical method, namely the bivariate measure of risk and error (BMORE) plot, to visualize bivariate output data from the stochastic simulation. The BMORE plot consists of a sample mean, median, minimum/maximum values for each measure, an outlier, and the boundary of a certain percentile of the simulation data on a two-dimensional space. In addition, it depicts confidence regions of both the true mean and the percentile to show how accurate the two estimates are. From the BMORE plot, scholars, practitioners, and software engineers in simulation fields can understand the variability and potential risk of the simulation data intuitively, design simulation experiments effectively, and reduce a great deal of time and effort to analyze the simulation results.

키워드

Risk assessmentStochastic modelsStochastic systemsConfidence regionDesign simulationsGraphical methodsPotential risksSample meansSimulation dataStochastic simulationsTwo dimensional spacesComputer software
제목
The bivariate measure of risk and error (BMORE) plot
저자
Lee, Mi LimPark, Chuljin
DOI
10.1109/WSC.2015.7408189
발행일
2016-02
유형
Conference Paper
저널명
Proceedings - Winter Simulation Conference
2016-February
페이지
484 ~ 492