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A Lognormal State of Knowledge

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Book cover Maximum Entropy and Bayesian Methods

Part of the book series: Fundamental Theories of Physics ((FTPH,volume 79))

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Abstract

The Lognormal distribution is derived as the representation of a particular state of knowledge using a combination of maximum entropy and group invariance arguments.

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References

  1. E. Jaynes, Probability Theory: The Logic of Science, not yet published, manuscript available at http://omega.albany.edu:8008/JaynesBook.html, 1995.

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Author information

Authors and Affiliations

  1. Department of Physics and Astronomy, Brigham Young University, Provo, UT, 84602, USA

    P. R. Dukes & E. G. Larson

Authors
  1. P. R. Dukes
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  2. E. G. Larson
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Editor information

Editors and Affiliations

  1. Dynamic Experimentation Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA

    Kenneth M. Hanson

  2. Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA

    Richard N. Silver

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© 1996 Springer Science+Business Media Dordrecht

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Dukes, P.R., Larson, E.G. (1996). A Lognormal State of Knowledge. In: Hanson, K.M., Silver, R.N. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 79. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5430-7_44

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  • DOI: https://doi.org/10.1007/978-94-011-5430-7_44

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6284-8

  • Online ISBN: 978-94-011-5430-7

  • eBook Packages: Springer Book Archive

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