Study of the chaotic behaviour of temperature time series processes; Proceedings of SPIE; Vol. 11916 : Atmospheric and Ocean Optics: Atmospheric Physics
| Parent link: | Proceedings of SPIE.— .— Bellingham: SPIE Vol. 11916 : Atmospheric and Ocean Optics: Atmospheric Physics.— 2021.— 119165K, 5 p. |
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| 其他作者: | , , , , |
| 總結: | Title screen The results of the nonlinearity analysis of the temperature time series with different sampling steps are presented. The values of statistical functions describing the amount of information contained in one time series relative to another are calculated. The graphs of the Lyapunov exponent plotted. The nonlinearity of the studied time series was checked using White's test and Terasvirt's test. In both tests, Fisher's criteria and chi-square's criteria reject the null hypothesis, i.e. confirm the nonlinearity nature of the time series under study Текстовый файл AM_Agreement |
| 語言: | 英语 |
| 出版: |
2021
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| 主題: | |
| 在線閱讀: | https://doi.org/10.1117/12.2602969 Статья на русском языке |
| 格式: | 電子 Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=679992 |
| 總結: | Title screen The results of the nonlinearity analysis of the temperature time series with different sampling steps are presented. The values of statistical functions describing the amount of information contained in one time series relative to another are calculated. The graphs of the Lyapunov exponent plotted. The nonlinearity of the studied time series was checked using White's test and Terasvirt's test. In both tests, Fisher's criteria and chi-square's criteria reject the null hypothesis, i.e. confirm the nonlinearity nature of the time series under study Текстовый файл AM_Agreement |
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| DOI: | 10.1117/12.2602969 |