Determining the optimal sample size in the Monte Carlo experiments
| dc.contributor.author | Ata, Mustafa Y. | |
| dc.date.accessioned | 2017-01-06T13:05:43Z | |
| dc.date.available | 2017-01-06T13:05:43Z | |
| dc.date.issued | 2006 | |
| dc.description | http://sjam.selcuk.edu.tr/sjam/article/view/176 | en_US |
| dc.description.abstract | A convergence criterion for the Monte Carlo estimates will be proposed which can be used as a stopping rule for the Monte Carlo experiments. The proposed criterion searches a convergence band of a given width and length such that the probability of the Monte Carlo sample variance to fall outside of this band is practically null. After the convergence to the process variance realized according to the new rule, a confidence interval in the usual statistical sense can be determined for the steady-state mean of the process. | en_US |
| dc.identifier.citation | Ata, M. Y. (2006). Determining the optimal sample size in the Monte Carlo experiments. Selcuk Journal of Applied Mathematics, 7 (2), 103-111. | en_US |
| dc.identifier.endpage | 111 | |
| dc.identifier.issn | 1302-7980 | en_US |
| dc.identifier.startpage | 103 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12395/3758 | |
| dc.identifier.volume | 7 | |
| dc.language.iso | en | en_US |
| dc.publisher | Selcuk University Research Center of Applied Mathematics | en_US |
| dc.relation.ispartof | Selcuk Journal of Applied Mathematics | en_US |
| dc.relation.publicationcategory | Makale - Kategori Belirlenecek | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.selcuk | 20240510_oaig | en_US |
| dc.subject | Sequential confidence interval | en_US |
| dc.subject | Ardışık güven aralığı | en_US |
| dc.subject | Durma kuralı | en_US |
| dc.subject | Stopping rule | en_US |
| dc.subject | Monte Carlo | en_US |
| dc.subject | Convergence | en_US |
| dc.subject | Yakınsama | en_US |
| dc.title | Determining the optimal sample size in the Monte Carlo experiments | en_US |
| dc.type | Article | en_US |
