Structural Probability and a Generalization

Fraser, D. A. S.

doi:10.1007/978-1-4612-0919-5_36

Structural Probability and a Generalization

D. A. S. Fraser³

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Summary

Structural probability, a reformulation of fiducial probability for transformation models, is discussed in terms of an error variable. A consistency condition is established concerning conditional distributions on the parameter space; this supplements the consistency under Bayesian manipulations found in Fraser (1961). An extension of structural probability for real-parameter models is developed; it provides an alternative to the local analysis in Fraser (1964b).

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References

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Authors and Affiliations

University of Toronto, USA
D. A. S. Fraser

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D. A. S. Fraser
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Editors and Affiliations

College of Business and Management, University of Maryland at College Park, College Park, MD, 20742, USA
Samuel Kotz
Department of Statistics Phillips Hall, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
Norman L. Johnson

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Fraser, D.A.S. (1992). Structural Probability and a Generalization. In: Kotz, S., Johnson, N.L. (eds) Breakthroughs in Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0919-5_36

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DOI: https://doi.org/10.1007/978-1-4612-0919-5_36
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94037-3
Online ISBN: 978-1-4612-0919-5
eBook Packages: Springer Book Archive

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