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文章基本信息

  • 标题:Can a Significance Test Be Genuinely Bayesian?,
  • 本地全文:下载
  • 作者:Carlos A de B Pereira ; Julio Michael Stern ; Sergio Wechsler
  • 期刊名称:Bayesian Analysis
  • 印刷版ISSN:1931-6690
  • 电子版ISSN:1936-0975
  • 出版年度:2008
  • 卷号:03
  • 期号:01
  • 页码:79-100
  • 出版社:International Society for Bayesian Analysis
  • 摘要:The Full Bayesian Signi cance Test, FBST, is extensively reviewed. Its test statistic, a genuine Bayesian measure of evidence, is discussed in detail. Its behavior in some problems of statistical inference like testing for independence in contingency tables is discussed.
  • 关键词:Bayes tests, Sharp hypotheses, Signi cance tests.
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