2012 Fiscal Year Final Research Report
Statistical theory on data protection for public database
| Project/Area Number |
22300097
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Okayama Shoka University |
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Principal Investigator |
SAI Shido 岡山商科大学, 経済学部, 教授 (30186910)
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| Co-Investigator(Kenkyū-buntansha) |
SIBUYA Masaaki 慶應義塾大学, 理工学部, 名誉教授 (20146723)
TAKI Atsuhiro 広島大学, 大学院・社会科学研究科, 教授 (40216809)
INABA Yoshiyuki 慶應義塾大学, 経済学部, 教授 (80312437)
ITO Shinsuke 明海大学, 経済学部, 准教授 (90363316)
KOBAYASHI Yoshiyuki 統計情報研究開発センター, 研究開発本部, 研究員 (80553643)
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| Co-Investigator(Renkei-kenkyūsha) |
TAKEMURA Akimichi 東京大学, 情報理工学系研究科, 教授 (10171670)
HOSHINO Nobuaki 金沢大学, 人間社会研究域経済学経営学 系, 教授 (00313627)
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| Project Period (FY) |
2010 – 2012
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| Keywords | 官庁統計 / 個票データ / リスク評価 / 寸法指標 / 秘匿措置 / プライバシー保護 / 多重寸法指標 / 疑似個票データ |
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| Research Abstract |
Some properties of the superpopulation models, which are used for the estimation of the population size indecies, are investigated. The nonparametric estimation method associated with the Pitman model, which is one of the superpopulation models, are proposed. The multi size indecies are also proposed and applied to the risk assessment of the microdata set made from the sequential data, the stratified sample and the post-stratified sample. These theories and techniques are adopted to the other fields, for example, PPDM, the spatial statistics, the medical statistics and biostatistics.
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Research Products
(64 results)
