Interpreting tests of a hypothesis at multiple alpha levels within a Neyman-Pearson framework

DOI10.1016/j.spl.2023.109899OpenAlexW4381611276WikidataQ122940257 ScholiaQ122940257MaRDI QIDQ6178691

Janet Aisbett

Publication date: 4 September 2023

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2023.109899

zbMATH Keywords

coherencep-valuesmultiple hypothesis testingsignificance levelsimultaneous hypothesis tests

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Axioms; other general questions in probability (60A05)

Cites Work

• Frequentist probability and frequentist statistics
• The partitioning principle: a powerful tool in multiple decision theory
• The ASA President's task force statement on statistical significance and replicability
• A Theory of Some Multiple Decision Problems. II
• Multiparameter Hypothesis Testing and Acceptance Sampling
• The Fisher, Neyman-Pearson Theories of Testing Hypotheses: One Theory or Two?
• Moving to a World Beyond “p < 0.05”

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