Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Noninformative priors for the common mean in log-normal distributions

  • Kang, Sang-Gil (Department of Computer and Data Information, Sangji University)
  • Received : 2011.09.30
  • Accepted : 2011.11.05
  • Published : 2011.12.01
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Abstract

In this paper, we develop noninformative priors for the log-normal distributions when the parameter of interest is the common mean. We developed Jeffreys' prior, th reference priors and the first order matching priors. It turns out that the reference prior and Jeffreys' prior do not satisfy a first order matching criterion, and Jeffreys' pri the reference prior and the first order matching prior are different. Some simulation study is performed and a real example is given.

Keywords

References

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