| 書目名稱 | Time Series Analysis in Climatology and Related Sciences |
| 編輯 | Victor Privalsky |
| 視頻video | http://file.papertrans.cn/926/925441/925441.mp4 |
| 概述 | Provides a reliable guide on how to use short time series in Earth and Solar Sciences.Offers a mathematically correct way to reconstruct climate.Contains many practical examples and recommendations |
| 叢書名稱 | Progress in Geophysics |
| 圖書封面 |  |
| 描述 | .This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data.. .As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.. |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | random processes; time series; climatic variability; climate spectra; climate reconstructions; climate ex |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-58055-1 |
| isbn_softcover | 978-3-030-58054-4 |
| isbn_ebook | 978-3-030-58055-1Series ISSN 2523-8388 Series E-ISSN 2523-8396 |
| issn_series | 2523-8388 |
| copyright | Springer Nature Switzerland AG 2021 |
|Archiver|手機版|小黑屋|
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