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The rules of conditional inference: Is there a universal definition of nonformation?
Authors:Bent Jørgensen
Affiliation:(1) Department of Statistics, University of British Columbia, Vancouver, B.C., Canada
Abstract:Summary We consider the ideas of sufficiency and ancillarity for parametric models with nuisance parameters, and more generally Barndorff-Nielsen's notion of nonformation. The original four definitions of non-formation, namelyB-,S-,G- andM-nonformation, each cover different types of models. We stress the interpretation of nonformation in terms of the idea of perfect fit. This leads to a new definition of nonformation, calledI-nonformation, which is well suited for inference in exponential families. We also consider Rémon's concept ofL-sufficiency, and a recent extension toL-nonformation, due to Barndorff-Nielsen, which unifies and extendsB-,S- andG- nonformation. We study the relations between these six definitions, and show that they are all special cases ofM-nonformation. All animals are equal, but some animals are more equal than others. From ‘Animal Farm’, by G. Orwell (1945).
Keywords:Ancillarity  Canonical measure  Factorization criteria  Likelihood  Marginal inference  Nuisance parameters  Orthogonal parameters  Sufficiency  Universality
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