Reconciling frequentist properties with the likelihood principle

DOI10.1016/S0378-3758(01)00203-8zbMath0992.62002OpenAlexW1969678987MaRDI QIDQ1611803

Peter Walley

Publication date: 28 August 2002

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(01)00203-8

zbMATH Keywords

imprecise probabilityconditional inferencecontamination neighborhoodconsistency functionfrequentist principleimprecise beta modelupper prohability

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Parametric hypothesis testing (62F03) Foundations and philosophical topics in statistics (62A01)

Related Items (9)

Coherent Frequentism: A Decision Theory Based on Confidence Sets ⋮ An introduction to the imprecise Dirichlet model for multinomial data ⋮ Possibility-theoretic statistical inference offers performance and probativeness assurances ⋮ Mathematical foundations for a theory of confidence structures ⋮ Generalized inferential models for censored data ⋮ Valid inferential models for prediction in supervised learning problems ⋮ Direct and approximately valid probabilistic inference on a class of statistical functionals ⋮ Reconciling frequentist properties with the likelihood principle ⋮ Implicative analysis for multivariate binary data using an imprecise Dirichlet model

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