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Adaptive Significance Levels in Tests for Linear Regression Models: The e-Value and P-Value Cases
The full Bayesian significance test (FBST) for precise hypotheses is a Bayesian alternative to the traditional significance tests based on p-values. The FBST is characterized by the e-value as an evidence index in favor of the null hypothesis (H). An important practical issue for the implementation...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858150/ https://www.ncbi.nlm.nih.gov/pubmed/36673160 http://dx.doi.org/10.3390/e25010019 |