Modelling Dry Spells by Extreme Value Distribution with Bayesian Inference
Author:
Funder
Hrvatska Zaklada za Znanost
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology,Geophysics
Link
http://link.springer.com/article/10.1007/s00024-018-2007-6/fulltext.html
Reference39 articles.
1. Alonso, A. M., de Zea Bermudez, P., & Scotto, M. G. (2014). Comparing generalized Pareto models fitted to extreme observations: An application to the largest temperatures in Spain. Stochastic Environmental Research and Risk Assessment, 28, 1221–1223. https://doi.org/10.1007/s00477-013-0809-8 .
2. Begueria, S. (2005). Uncertainties in partial duration series modelling of extremes related to the choice of the threshold value. Journal of Hydrology, 303, 215–230. https://doi.org/10.1016/j.jhydrol.2004.07.015 .
3. Cindrić, K., Mihajlović, D., Telišman Prtenjak, M., Herceg Bulić, I., & Pasarić, Z. (2016). Analysis of the extraordinary 2011/2012 drought in Croatia. Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-014-1368-8 .
4. Cindrić, K., Pasarić, Z., & Gajić-Čapka, M. (2010). Spatial and temporal analysis of dry spells in Croatia. Theoretical and Applied Climatology, 102, 171–181. https://doi.org/10.1007/s00704-010-0250-6 .
5. Coles, S. (2001). An introduction to statistical modelling of extreme values. London, UK: Springer.
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