title: Changing Statistical Significance with the Amount of Information: The AdaptiveαSignificance Level.
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.
authors: Department of Mathematics, University of Puerto Rico, Rio Piedras Campus, Box 70377, San Juan, PR 00936-8377, Puerto Rico.
authors: María-Eglée
authors: ME
authors: Pérez
authors: Department of Mathematics, University of Puerto Rico, Rio Piedras Campus, Box 70377, San Juan, PR 00936-8377, Puerto Rico.
authors: Luis Raúl
authors: LR
authors: Pericchi
keywords: Bayes-non Bayes compromise; Posterior Probability Principle; Significance Principle; adaptive confidence level; p-value calibration