Interval estimation, point estimation, and null hypothesis significance testing calibrated by an estimated posterior probability of the null hypothesis

نویسندگان

چکیده

Much of the blame for failed attempts to replicate reports scientific findings has been placed on ubiquitous and persistent misinterpretations p value. An increasingly popular solution is transform a two-sided value lower bound Bayes factor. Another interpret one-sided as an approximate posterior probability. Combining two solutions results in confidence intervals that are calibrated by estimate probability null hypothesis true. The combination also provides point covered interval at every level confidence. Finally, generates hypothesis. In special case 50% prior simple factor, about (1 – abs(2.7 ln p)) + 2 p) small p. calibrations intervals, estimates, values proposed empirical framework without requiring multiple comparisons.

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ژورنال

عنوان ژورنال: Communications in Statistics

سال: 2021

ISSN: ['1532-415X', '0361-0926']

DOI: https://doi.org/10.1080/03610926.2021.1921805