• DocumentCode
    2462551
  • Title

    Testing the statistical similarity of discrete observations using Dirichlet priors

  • Author

    Lynch, Robert S., Jr. ; Willett, Peter K.

  • Author_Institution
    Naval Undersea Warefare Center, Newport, RI, USA
  • fYear
    1998
  • fDate
    16-21 Aug 1998
  • Firstpage
    144
  • Abstract
    In this paper the combined Bayes test, which uses a Dirichlet (noninformative) prior, is used to determine if the underlying statistics of two data populations are the same. Results demonstrate that the combined Bayes test performs better than the more conventional Kolmogorov-Smirnov test
  • Keywords
    Bayes methods; error statistics; information theory; testing; Bayes test; Dirichlet priors; Kolmogorov-Smirnov test; data populations; discrete observations; error probability; statistical similarity; testing; Bayesian methods; Contracts; Degradation; Histograms; Integrated circuit testing; Laboratories; Performance evaluation; Probability; Quantization; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-5000-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1998.708736
  • Filename
    708736
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2462551