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
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