DocumentCode :
2178191
Title :
Comparing two systems: Beyond common random numbers
Author :
Ehrlichman, Samuel M T ; Henderson, Shane G.
Author_Institution :
Sch. of Oper. Res. & Inf. Eng., Cornell Univ., Ithaca, NY, USA
fYear :
2008
fDate :
7-10 Dec. 2008
Firstpage :
245
Lastpage :
251
Abstract :
Suppose one wishes to compare two closely related systems via stochastic simulation. Common random numbers (CRN) involves using the same streams of uniform random variates as inputs for both systems to sharpen the comparison. One can view CRN as a particular choice of copula that gives the joint distribution of the inputs of both systems. We discuss the possibility of using more general copulae, including simple examples that show how this can outperform CRN.
Keywords :
number theory; possibility theory; random processes; closely related systems; common random numbers; stochastic simulation; Computational modeling; Operations research; Random variables; Reactive power; Sampling methods; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2008. WSC 2008. Winter
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2707-9
Electronic_ISBN :
978-1-4244-2708-6
Type :
conf
DOI :
10.1109/WSC.2008.4736074
Filename :
4736074
Link To Document :
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