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  Bayesian Inference : Parameter Estimation and Decisions

Harney, H. L. (2003). Bayesian Inference: Parameter Estimation and Decisions. New York [u.a.]: Springer.

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 Creators:
Harney, Hanns Ludwig1, Author              
Affiliations:
1Prof. Hans A. Weidenmüller, Emeriti, MPI for Nuclear Physics, Max Planck Society, ou_907547              

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 Abstract: The book provides a generalization of Gaussian error intervals ti situations where the data follow non-Gaussian distributions. This usually occurs in frontier science, where the observed parameter is just above background or the histogram of multiparametric data contains empty bins. Then the validity of a theory cannot be decided by the chi-squared-criterion, but this long-

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Language(s): eng - English
 Dates: 2003
 Publication Status: Published in print
 Pages: 263 S.
 Publishing info: New York [u.a.] : Springer
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 63288
 Degree: -

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