Supplementary data, code, and information for ‘Assessing Climate Change Impacts on Extreme Weather Events: The Case For an Alternative (Bayesian) Approach’ (Mann et al. 2017)

M.E. Mann, E.A. Lloyd & N. Oreskes
The conventional approach to detecting and attributing climate change impacts on extreme weather events is generally based on frequentist statistical inference wherein a null hypothesis of no influence is assumed, and the alternative hypothesis of an influence is accepted only when the null hypothesis can be rejected at a sufficiently high (e.g., 95% or p = 0.05) level of confidence. Using a simple conceptual model for the occurrence of extreme weather events, we show that...
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