Comparing climate time series – Part 1: Univariate test
<p>This paper proposes a new approach to detecting and describing differences in stationary processes. The approach is equivalent to comparing auto-covariance functions or power spectra. The basic idea is to fit an autoregressive model to each time series and then test whether the model parame...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-10-01
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| Series: | Advances in Statistical Climatology, Meteorology and Oceanography |
| Online Access: | https://ascmo.copernicus.org/articles/6/159/2020/ascmo-6-159-2020.pdf |