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A Bayesian perspective on severity: risky predictions and specific hypotheses
A tradition that goes back to Sir Karl R. Popper assesses the value of a statistical test primarily by its severity: was there an honest and stringent attempt to prove the tested hypothesis wrong? For “error statisticians” such as Mayo (1996, 2018), and frequentists more generally, severity is a key...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104935/ https://www.ncbi.nlm.nih.gov/pubmed/35969359 http://dx.doi.org/10.3758/s13423-022-02069-1 |