| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1007/s10559-006-0118-z |
| Method of empirical means in stochastic programming problems. | |
| Ermoliev Y; Knopov PS | |
| 发表日期 | 2006 |
| 出处 | Cybernetics and Systems Analysis 42 (6): 773-785 |
| 出版年 | 2006 |
| 语种 | 英语 |
| 摘要 | This paper deals with the empirical mean method, which is one of the most well-known methods of solving stochastic programming problems. The authors present their results obtained in recent years and discuss their application to estimation and identification problems. |
| 关键词 | Empirical mean method Estimate Estimation Optimization Risk |
| URL | http://pure.iiasa.ac.at/id/eprint/13455/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/128513 |
| 推荐引用方式 GB/T 7714 | Ermoliev Y,Knopov PS. Method of empirical means in stochastic programming problems.. 2006. |
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