Disclosure Control of Business Microdata: A Density-Based Approach

被引：2

作者：

Ichim, Daniela ^{[1
]}

机构：

[1] Ist Nazl Stat, I-00184 Rome, Italy

来源：

INTERNATIONAL STATISTICAL REVIEW | 2009年 / 77卷 / 02期

关键词：

Statistical disclosure control; risk of disclosure; local outlier factor; selective masking; business microdata; microdata files for research purposes; RISK; PROTECTION;

D O I：

10.1111/j.1751-5823.2009.00079.x

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

P>For continuous key variables, a measure of the individual risk of disclosure is proposed. This risk measure, the local outlier factor, estimates the density around a unit. A selective masking method based on the nearest-neighbour principle and microaggregation is also introduced. Some results of an application to the Italian sample of the Community Innovation Survey are presented.

引用

页码：196 / 211

页数：16

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