Literature DB >> 24511173

Changing Statistical Significance with the Amount of Information: The Adaptive α Significance Level.

María-Eglée Pérez1, Luis Raúl Pericchi1.   

Abstract

We put forward an adaptive alpha which changes with the amount of sample information. This calibration may be interpreted as a Bayes/non-Bayes compromise, and leads to statistical consistency. The calibration can also be used to produce confidence intervals whose size take in consideration the amount of observed information.

Entities:  

Keywords:  Bayes-non Bayes compromise; Posterior Probability Principle; Significance Principle; adaptive confidence level; p-value calibration

Year:  2014        PMID: 24511173      PMCID: PMC3912868          DOI: 10.1016/j.spl.2013.10.018

Source DB:  PubMed          Journal:  Stat Probab Lett        ISSN: 0167-7152            Impact factor:   0.870


  1 in total

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Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

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Journal:  PLoS One       Date:  2018-04-13       Impact factor: 3.240

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Journal:  BMJ Open       Date:  2016-06-15       Impact factor: 2.692

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