Parameter-level synthesis of nonstationary GEV regressions reduces bias in extreme-event attribution compared with the standard measure-level WWA meta-analysis approach.
On the maximum likelihood estimator for the Generalized Extreme-Value distribution , volume =
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Evidence Synthesis in Probabilistic Extreme Event Attribution: From Attribution Measures to Model Parameters
Parameter-level synthesis of nonstationary GEV regressions reduces bias in extreme-event attribution compared with the standard measure-level WWA meta-analysis approach.