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Blending Bayesian and Classical Tools to Define Optimal Sample-Size-Dependent Significance Levels.

This article argues that researchers do not need to completely abandon the p-value, the best-known significance index, but should instead stop using significance levels that do not depend on sample sizes. A testing procedure is developed using a mixture of frequentist and Bayesian tools, with a sign...

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Publicado en:American Statistician Vol. 73; pp. 213 - 223
Autores principales: Gannon, Mark Andrew, de Bragança Pereira, Carlos Alberto, Polpo, Adriano
Formato: Artículo
Publicado: Taylor & Francis Ltd Mar2019 Supplement
Materias:
Bayesian analysis
Statistical significance
Hardy-Weinberg formula
Neyman-Pearson theorem
Sample size (Statistics)
Likelihood ratio tests
Null hypothesis
Acceso en línea:Ver este registro en EBSCOhost