Assessing Statistical Results: Magnitude, Precision, and Model Uncertainty

DOI10.1080/00031305.2018.1537889OpenAlexW2924240655MaRDI QIDQ5868235

Andrew A. Anderson

Publication date: 20 September 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2018.1537889

zbMATH Keywords

robustnessinferencesampling error

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

P-values don’t measure evidence ⋮ Moving to a World Beyond “p < 0.05”

Cites Work

• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• The ASA Statement on p-Values: Context, Process, and Purpose

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