Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence-Reference-Cited by-同舟云学术

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Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence

Published:2022-10-28 Issue: Volume: Page:1-17
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Lun David¹^ORCID,Fischer Svenja²^ORCID,Viglione Alberto³^ORCID,Blöschl Günter¹^ORCID

Affiliation:

1. Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, Austria

2. Institute of Hydrology, Water Resources Management and Environmental Engineering, Ruhr-University Bochum, Bochum, Germany

3. Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy

Funder

Austrian Science Funds

German Research Foundation

FWF Vienna Doctoral Programme on Water Resource Systems

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2022.2137115

Reference54 articles.

1. Global warming increases flood risk in mountainous areas

2. Flood risk assessment and associated uncertainty

3. Changing climate shifts timing of European floods

4. Changing climate both increases and decreases European river floods

5. R.C. Bradley, Basic properties of strong mixing conditions, in Dependence in Probability and Statistics, E. Eberlein and M. Taqqu, eds., Birkhäuser, Boston, 1986, pp. 165–192.

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