Interval estimation, point estimation, and null hypothesis significance testing calibrated by an estimated posterior probability of the null hypothesis
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Publication:5875258
DOI10.1080/03610926.2021.1921805OpenAlexW3161267224MaRDI QIDQ5875258
Publication date: 3 February 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1921805
calibrated confidence intervalreplication crisisreproducibility crisiscalibrated effect size estimationcalibrated \(p\) value
Related Items (3)
Null Hypothesis Significance Testing Interpreted and Calibrated by Estimating Probabilities of Sign Errors: A Bayes-Frequentist Continuum ⋮ The \(p\)-value interpreted as the posterior probability of explaining the data: applications to multiple testing and to restricted parameter spaces ⋮ Fiducialize statistical significance: transformingp-values into conservative posterior probabilities and Bayes factors
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