255 0

The bivariate measure of risk and error (BMORE) plot

Title
The bivariate measure of risk and error (BMORE) plot
Author
박철진
Keywords
Visualization
Issue Date
2015-12
Publisher
IEEE
Citation
Proceedings of the 2015 Winter Simulation Conference, Page. 484-492
Abstract
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.
URI
http://ieeexplore.ieee.org/document/7408189/http://hdl.handle.net/20.500.11754/30042
ISBN
978-1-4673-9743-8
ISSN
1558-4305
DOI
10.1109/WSC.2015.7408189
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INDUSTRIAL ENGINEERING(산업공학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE