Title :
Output data analysis for simulations
Author :
Alexopoulos, Christos ; Seila, Andrew E.
Author_Institution :
Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
This paper reviews statistical methods for analyzing output data from computer simulations of single systems. In particular, it focuses on the estimation of steady-state system parameters. The estimation techniques include the replication/deletion approach, the regenerative method, the batch means method, and the standardized time series method
Keywords :
data analysis; digital simulation; parameter estimation; batch means method; computer simulations; output data analysis; regenerative method; replication/deletion approach; single systems; standardized time series method; statistical methods; steady-state system parameter estimation; Analytical models; Computational modeling; Computer simulation; Data analysis; Parameter estimation; Random variables; Statistical analysis; Steady-state; System performance; Systems engineering and theory;
Conference_Titel :
Simulation Conference, 2001. Proceedings of the Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-7307-3
DOI :
10.1109/WSC.2001.977252
