DocumentCode :
1802628
Title :
Simulation-Based Response Surface Computation in the Presence of Monotonicity
Author :
Lim, Eunji ; Glynn, Peter W.
Author_Institution :
Dept. of Manage. Sci. & Eng., Stanford Univ., CT
fYear :
2006
fDate :
3-6 Dec. 2006
Firstpage :
264
Lastpage :
271
Abstract :
In many stochastic models, it is known that the response surface corresponding to a particular performance measure is monotone in the underlying parameter. For example, the steady-state mean waiting time for customers in a single server queue is known to be monotone in the service rate. In other contexts, the simulator may believe, on the basis of intuition, that the response surface is monotone. This paper describes an appropriate methodology for incorporating such monotonicity constraints into one´s response surface estimator
Keywords :
Monte Carlo methods; response surface methodology; stochastic processes; monotonicity constraints; simulation-based response surface computation; single server queue; steady-state mean; stochastic models; Computational modeling; Context modeling; Engineering management; Monte Carlo methods; Particle measurements; Polynomials; Response surface methodology; Statistics; Steady-state; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2006. WSC 06. Proceedings of the Winter
Conference_Location :
Monterey, CA
Print_ISBN :
1-4244-0500-9
Electronic_ISBN :
1-4244-0501-7
Type :
conf
DOI :
10.1109/WSC.2006.323082
Filename :
4117614
Link To Document :
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