Cargando…
Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC
The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive. We approximate analytically and numerically the performance of Neyman-Pearson hypothesis testing, Fisher significance testing, info...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293863/ https://www.ncbi.nlm.nih.gov/pubmed/34295904 http://dx.doi.org/10.3389/fevo.2019.00372 |