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
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