| 来源类型 | Monograph (IIASA Working Paper) |
| 规范类型 | 论文 |
| Application of Multivariate Statistical Analysis for the Detection of Structural Changes in the Series of Monitoring Data. | |
| Antonovsky MY; Buchstaber VM; Veksler LS | |
| 发表日期 | 1991 |
| 出版者 | IIASA, Laxenburg, Austria: WP-91-037 |
| 出版年 | 1991 |
| 语种 | 英语 |
| 摘要 | A new approach to the study of time series by the projection pursuit methods is described. The ideas are illustrated on the time series of the monitoring of the environment and climate: (a) on time series of anomalies of global mean annual temperature -- the main climatological parameter; (b) on time series of atmospheric CO2 concentrations -- the main greenhouse gases; (c) on time series of vegetation index (NDVI) -- the main global characteristic of biota activity on the satellite data. |
| 主题 | Environment Program - Core (ENC) |
| URL | http://pure.iiasa.ac.at/id/eprint/3528/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/123938 |
| 推荐引用方式 GB/T 7714 | Antonovsky MY,Buchstaber VM,Veksler LS. Application of Multivariate Statistical Analysis for the Detection of Structural Changes in the Series of Monitoring Data.. 1991. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| WP-91-037.pdf（2030KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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