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Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence
Statistical dependency measures such as Kendall’s Tau or Spearman’s Rho are frequently used to analyse the coherence between time series in environmental data analyses. Autocorrelation of the data can, however, result in spurious cross correlations if not accounted for. Here, we present the asymptot...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557552/ https://www.ncbi.nlm.nih.gov/pubmed/37808614 http://dx.doi.org/10.1080/02664763.2022.2137115 |