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  • 标题:RELATIONSHIP BETWEEN LOGARITHMIC SERIES MODEL AND OTHER SUPERPOPULATION MODELS USEFUL FOR MICRODATA DISCLOSURE RISK ASSESSMENT
  • 本地全文:下载
  • 作者:Nobuaki Hoshino ; Akimichi Takemura
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:1998
  • 卷号:28
  • 期号:2
  • 页码:125-134
  • DOI:10.14490/jjss1995.28.125
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:Fisher's logarithmic series model (Fisher et al. (1943)) is a classical model in statistical ecology. In this paper we show that this model is a key model linking three models discussed in Takemura (1997), i.e., Poisson-gamma model (Bethlehem et al. (1990)), Dirichlet-multinomial model (Takemura (1997)), and Ewens model (Ewens (1990), Sibuya (1993)). This connection opens up the possibility of applying existing techniques of statistical ecology to the problem of microdata disclosure risk assessment.
  • 关键词:official statistics;population unique;stochastic abundance model
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