Sampling distributions of the Brier score and Brier skill score under serial dependence
By D. Wilks. 2010
74 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/3d2e6b98696fd46b48511259aee0e280202f784b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Francisco J. Doblas-Reyes
- Giuseppe Jurman
- Davide Chicco
- Matthijs J. Warrens
- David B. Stephenson
- Tim N. Palmer
- Ian T. Jolliffe
- R. Hagedorn
In Global and Planetary Change
- Francisco J. Doblas-Reyes
- Giuseppe Jurman
- Davide Chicco
- Matthijs J. Warrens
- David B. Stephenson
- Tim N. Palmer
- Ian T. Jolliffe
- R. Hagedorn
Citations in the corpus
- Detecting Improvements in Forecast Correlation Skill: Statistical Testing and Power Analysis (2017, background): “The importance of power analysis has been pointed out in the climate literature by Jolliffe (2007) and Wilks (2010).”
- The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment (2021, background): “Bradley and colleagues [84] explored the sampling uncertainties of the Brier score and its variant Brier skill score [85].”