Title :
A tutorial on design and analysis of simulation experiments
Author :
Kelton, W. David
Author_Institution :
Supercomput. Inst., Minnesota Univ., Minneapolis, MN, USA
Abstract :
This paper describes, in general terms, methods to help design the runs for simulation models and interpret their output. Statistical methods are described for several different purposes, and related problems like comparison, variance reduction, sensitivity estimation, metamodeling and optimization are mentioned. The main point is to call attention to the challenges and opportunities in using simulation models carefully and effectively
Keywords :
design of experiments; optimisation; sensitivity analysis; simulation; statistics; comparison; metamodeling; optimization; output interpretation; sensitivity estimation; simulation experiment analysis; simulation experiment design; simulation model runs; statistical methods; variance reduction; Analytical models; Computational modeling; Computer simulation; Manufacturing; Optimization methods; Statistical analysis; Supercomputers; System testing; Tutorial; Vehicles;
Conference_Titel :
Simulation Conference Proceedings, 1995. Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-78033018-8
DOI :
10.1109/WSC.1995.478700
