Statistical Probleme in Statistical Disclosure Control

统计披露控制中的统计问题

• 批准号: 11480055
• 负责人: SIBUYA Masaki
• 金额: $ 9.6万
• 依托单位: Takachiho University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 1999
• 资助国家: 日本
• 起止时间: 1999 至 2001
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-11480055/
• 关键词: incomplete data; partition vector; Post Random Method; Pitman's model; private data protection; random partition; unique in sampule and population; 確率分割; 孤立固体; Post Randomization Method (PRAM); 統計的漏洩制御; ミクロ統計; 個票データ; 不安全データ; 多重分割表; 周辺分割表

Masaaki Sibuya and Hajime Yamato (2000, 2001a, 2001b), in collaboration with T. Nomachi, studied the properties of Pitman's model for the random partition of a finite set or that of a number. The maximum likelihood estimation of the parameters was found rather poor, and alternative metods were investigated. 'Its application to the statistical disclosure control is promising.Shido Sai (2000, 2001, 2002), in collaboration with A. Takemura, studied mainly nonparametric approach to the estimation of the number of individuals who are unique in both sample and population. If a decreasing size indexes (frequency spectrum or partition vector) in population is assumed, the maximum likelihood estimate is favorable although the computational work is combinatorial.A new technique for protecting private data is the Post Randomization Method, named PRAM, not the randomization during the survey. Tomoyuki Tarumi, with T. Fujino, is investigating the effect of the procedure to the multivariate statistical analyses. Manabu Iwasaki published a book on the introduction to the Incomplete Data Analysis. His analysis, with Y. Inaba, of the statistical table data on the aerial activities of commerce shows the published tables are vulnerable.

Masaaki Sibuya和Hajime Yamato（2000、2001 a、2001 b）与T. Nomachi，研究性质的皮特曼的模型随机分区的有限集或一个数字。发现参数的最大似然估计相当差，并研究了替代方法。Shido Sai（2000，2001，2002），in collaboration with A. Takemura主要研究了样本和总体中唯一个体个数的非参数估计方法。如果假设总体中的指数（频谱或划分向量）是递减的，则最大似然估计是有利的，尽管计算工作是组合的。一种新的保护隐私数据的技术是后随机化方法，称为PRAM，而不是在调查过程中的随机化。Tomoyuki Tarumi，与T. Fujino正在研究该程序对多变量统计分析的影响。岩崎学（Manabu Iwasaki）出版了一本介绍不完全数据分析的书。他的分析，与Y。稻叶说，关于空中商业活动的统计表数据显示，公布的表是脆弱的。

项目成果

Yamato, H, and Sibuya, M.: "Moments of some statistics of Pitman sampling formula,"Bulletin of Information and Cybernetics. 32. 1-10 (2000)

Yamato, H 和 Sibuya, M.：“Pitman 抽样公式的一些统计矩”，《信息与控制论通报》。

Sai, S.,: "Microdata disclosure risk assessement based on the expected number of predicted individuals, (in Japanese)"Proceedings of the Institute of Statistical Mathematics.. 48. 229-251 (2001)

Sai, S.,：“基于预测个体的预期数量的微观数据披露风险评估，（日语）”统计数学研究所论文集.. 48. 229-251 (2001)

Hashimoto,A.,Miyano,H.and Taguri,M.: "Numerical consideration on maximizing correlation coefficient under non linear constraints"Proceedings of the 7th Japan-China Symposium on Statistics, Tokyo. Vol.7. 383-384 (2000)

Hashimoto,A.、Miyano,H.和Taguri,M.：“非线性约束下相关系数最大化的数值考虑”第七届中日统计研讨会论文集，东京。

Fujino, T., Tarumi, T.: "PRAM and its Influence of Multivariate Analyses"Bulletion of the International Statistical Institute, 53^<rd> Session, Contributed Papers. 1. 153-154 (2001)

Fujino, T.、Tarumi, T.：“PRAM 及其对多元分析的影响”国际统计研究所公报，第 53 届会议，投稿论文。

岩崎 学: "エコノミスト社"不完全データの統計解析. 348 (2002)

岩崎学：《经济学人》不完整数据的统计分析348（2002）。