Statistical Probleme in Statistical Disclosure Control

Masaaki Sibuya和Hajime Yamato （2000,2001a, 2001b）与T. Nomachi合作，研究了Pitman模型对有限集合或数字随机划分的性质。发现参数的最大似然估计相当差，并研究了替代方法。将其应用于统计信息披露控制是有前景的。Shido Sai（2000,2001,2002）与A. Takemura合作，主要研究了非参数方法来估计样本和总体中独特的个体数量。如果假设总体中指标（频谱或划分向量）的大小是递减的，则最大似然估计是有利的，尽管计算工作是组合的。一种保护私人数据的新技术是后随机化方法，称为PRAM，而不是调查期间的随机化。Tomoyuki Tarumi和T. Fujino正在研究该程序对多元统计分析的影响。岩崎Manabu Iwasaki出版了一本介绍《不完全数据分析》的书。他与Y. Inaba对商业空中活动统计表数据的分析表明，公布的统计表是脆弱的。

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.