Maximum entropy spectral analysis for streamflow forecasting
文献类型：SCI/SSCI论文
| 作者 | Cui H. J.; Singh, V. P. |
| 发表日期 | 2016 |
| 关键词 | Burg entropy Configurational entropy Spectral analysis Streamflow forecasting statistical-mechanics information-theory univariate model time-series identification |
| 英文摘要 | Configurational entropy spectral analysis (CESAS) is developed with spectral power as a random variable for streamflow forecasting. It is found that the CESAS derived by maximizing the configurational entropy yields the same solution as by the Burg entropy spectral analysis (BESA). Comparison of forecasted streamflows by CESAS and BESA shows less than 0.001% difference between the two analyses and thus the two entropy spectral analyses are concluded to be identical. Thus, the Burg entropy spectral analysis and two configurational entropy spectral analyses form the maximum entropy spectral analysis. (C) 2015 Elsevier B.V. All rights reserved. |
| 出处 | Physica a-Statistical Mechanics and Its Applications |
| 卷 | 442 |
| 页 | 91-99 |
| 语种 | 英语 |
| ISSN号 | 0378-4371 |
| DOI标识 | 10.1016/j.physa.2015.08.060 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/42906]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Cui H. J.,Singh, V. P.. Maximum entropy spectral analysis for streamflow forecasting. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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