Significance test for linear regression: how to test without P-values?

DOI10.1080/02664763.2020.1748180OpenAlexW3014761495MaRDI QIDQ5861567

Paravee Maneejuk, Woraphon Yamaka

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1748180

zbMATH Keywords

belief functionsban of \(P\)-valueminimum Bayes factors

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (4)

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Uses Software

• MSwM

Cites Work

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• Prediction of future observations using belief functions: a likelihood-based approach
• Perspectives on the theory and practice of belief functions
• Rejoinder on ``Likelihood-based belief function: justification and some extensions to low-quality data
• Bayes Factors
• Calibration ofρValues for Testing Precise Null Hypotheses
• Moving to a World Beyond “p < 0.05”
• The ASA Statement on p-Values: Context, Process, and Purpose
• How the Maximal Evidence of P-Values Against Point Null Hypotheses Depends on Sample Size

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