DocumentCode :
3349359
Title :
Efficiency improvement and variance reduction
Author :
L´Ecuyer, Pierre
Author_Institution :
Dept. d´´Inf. et de Recherche Oper., Montreal Univ., Que., Canada
fYear :
1994
fDate :
11-14 Dec. 1994
Firstpage :
122
Lastpage :
132
Abstract :
Gives an overview of the main techniques for improving the statistical efficiency of simulation estimators. Efficiency improvement is typically (but not always) achieved through variance reduction. We discuss methods such as common random numbers, antithetic variates, control variates, importance sampling, conditional Monte Carlo, stratified sampling, and some others, as well as the combination of certain of those methods. We also survey the recent literature on this topic.
Keywords :
Monte Carlo methods; estimation theory; simulation; statistics; antithetic variates; common random numbers; conditional Monte Carlo methods; control variates; efficiency improvement; importance sampling; simulation estimators; statistical efficiency; stratified sampling; variance reduction; Computational efficiency; Computational modeling; Computer simulation; Costs; H infinity control; Mean square error methods; Monte Carlo methods; Random variables; Sampling methods; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference Proceedings, 1994. Winter
Print_ISBN :
0-7803-2109-X
Type :
conf
DOI :
10.1109/WSC.1994.717089
Filename :
717089
Link To Document :
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