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  • Search: subject:"Common Random Numbers"
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Year of publication
Subject
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common random numbers 8 Simulation 4 Common random numbers 3 Stochastic process 3 Stochastischer Prozess 3 bootstrap 3 jackknife 3 validation 3 Bayes-Statistik 2 Bayesian inference 2 Common Random Numbers 2 Estimation theory 2 Schätztheorie 2 Theorie 2 Theory 2 experimental design 2 experimental designs 2 generalized least squares 2 heteroscedasticity 2 metamodels 2 multivariate analysis 2 normality 2 simulation 2 Auxiliary particle filter 1 Bayesian Statistics 1 Bayesian optimization 1 Bootstrap 1 Bootstrap approach 1 Bootstrap-Verfahren 1 CAPM 1 Ceteris paribus 1 Common random numbers (CRN) 1 Counterfactual analysis 1 Cross-validation 1 Decision analysis 1 Discrete-Event Simulation 1 Effcient global optimization (EGO) 1 Experiment 1 Finite Difference Stochastic Approximation (FDSA) 1 Gaussian process 1
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Online availability
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Undetermined 9 Free 5
Type of publication
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Article 9 Book / Working Paper 5
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 10 English 4
Author
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Kleijnen, Jack P.C. 4 Branke, Juergen 1 Chick, Stephen E. 1 Eckman, David J. 1 Fulop, Andras 1 Glasserman, Paul 1 Goldie, Sue 1 Henderson, Shane G. 1 Inoue, Koichiro 1 Kleijnen, Jack P. C. 1 Kleinman, Nathan L. 1 Kolsrud, Dag 1 Li, Junye 1 Matejcik, Frank J. 1 Naiman, Daniel Q. 1 Nelson, Barry L. 1 Pearce, Michael Arthur Leopold 1 Poloczek, Matthias 1 Ridder, A.A.N. 1 Rubinstein, R.Y. 1 Shashaani, Sara 1 Spall, James C. 1 Stout, Natasha 1 Yao, David D. 1
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Institution
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Tilburg University, Center for Economic Research 4
Published in...
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Discussion Paper / Tilburg University, Center for Economic Research 4 Management Science 4 Computational Economics 1 Discussion paper / Center for Economic Research, Tilburg University 1 Health Care Management Science 1 INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 1 Journal of econometrics 1 Operations research 1
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Source
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RePEc 10 ECONIS (ZBW) 4
Showing 11 - 14 of 14
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New Procedures to Select the Best Simulated System Using Common Random Numbers
Chick, Stephen E.; Inoue, Koichiro - In: Management Science 47 (2001) 8, pp. 1133-1149
Although simulation is widely used to select the best of several alternative system designs, and common random numbers … available to help a simulation practitioner select the best system when common random numbers are employed. This paper presents … new two-stage procedures that use common random numbers to help identify the best simulated system. The procedures allow …
Persistent link: https://www.econbiz.de/10009218385
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Simulation-Based Optimization with Stochastic Approximation Using Common Random Numbers
Kleinman, Nathan L.; Spall, James C.; Naiman, Daniel Q. - In: Management Science 45 (1999) 11, pp. 1570-1578
The method of Common Random Numbers is a technique used to reduce the variance of difference estimates in simulation … determining optimal values for parameters of a simulated system. Asymptotic results exist which show that using the Common Random … more efficient optimization algorithm, and we will show that this algorithm, too, converges faster when the Common Random …
Persistent link: https://www.econbiz.de/10009191640
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Using Common Random Numbers for Indifference-Zone Selection and Multiple Comparisons in Simulation
Nelson, Barry L.; Matejcik, Frank J. - In: Management Science 41 (1995) 12, pp. 1935-1945
such procedures that exploit the variance-reduction technique of common random numbers to reduce the sample size required …
Persistent link: https://www.econbiz.de/10009209251
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Some Guidelines and Guarantees for Common Random Numbers
Glasserman, Paul; Yao, David D. - In: Management Science 38 (1992) 6, pp. 884-908
Common random numbers (CRN) is a widely-used technique for reducing variance in comparing stochastic systems through …
Persistent link: https://www.econbiz.de/10009218020
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