The rules of conditional inference: Is there a universal definition of nonformation?

DOI10.1007/BF02589024zbMath1446.62030OpenAlexW2055135246MaRDI QIDQ3598313

Bent Jørgensen

Publication date: 3 February 2009

Published in: Journal of the Italian Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02589024

zbMATH Keywords

likelihoodnuisance parametersuniversalitycanonical measuresufficiencyancillarityorthogonal parametersmarginal inferencefactorization criteria

Mathematics Subject Classification ID

Point estimation (62F10) Foundations and philosophical topics in statistics (62A01) Sufficient statistics and fields (62B05)

Cites Work

• On partial sufficiency: A review
• Parametric statistical models and likelihood
• Conditioning on ancillary statistics and loss of information in the presence of nuisance parameters
• Statistics and Subfields
• Sufficient Statistics with Nuisance Parameters
• Some Problems Connected with Statistical Inference
• On a formula for the distribution of the maximum likelihood estimator
• Test of Significance for 2 × 2 Contingency Tables
• On a Concept of Partial Sufficiency: L-Sufficiency
• Exponential transformation models
• Conditional score functions: Some optimality results
• Nonformation
• On M-ancillarity
• Two new properties of mathematical likelihood
• Recovery of inter-block information when block sizes are unequal
• Properties of sufficiency and statistical tests
• Application of the Radon-Nikodym Theorem to the Theory of Sufficient Statistics
• Sufficiency and Statistical Decision Functions
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