令人不愉快 发表于 2025-3-21 16:07:59

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faucet 发表于 2025-3-21 22:03:59

Basic Concepts,e variables or key variables. They are crucial for any other chapter, since SDC methods differ depending on the variables chosen. In addition, basic intruder scenarios are described such as identity, attribute and inferential disclosure. The chapter ends with a discussion about the trade-off between

蜈蚣 发表于 2025-3-22 00:48:22

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浪荡子 发表于 2025-3-22 05:10:00

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debris 发表于 2025-3-22 11:39:21

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Morsel 发表于 2025-3-22 16:37:37

Synthetic Data,ata. In addition, it is also a tool to create “augmented data sets” which serve as input for micro-simulation models or as data sets for remote execution. Multiple approaches and tools have been developed to generate synthetic data. These approaches can be categorized into three main groups: synthet

美色花钱 发表于 2025-3-22 17:24:34

Case Studies,y Income and Expenditure Survey (FIES), the Structural Earnings Survey (SES), International Income Distribution Database (I2D2), the Global Purchasing Power Parities and Real Expenditures data (P4), the so-called SHIP data, and the European Union Statistics on Income and Living Conditions (EU-SILC)

玷污 发表于 2025-3-22 21:34:36

ures numerous examples, exercises with solutions, and case s.This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, informa

admission 发表于 2025-3-23 05:08:14

Basic Concepts, disclosure risk and information loss. The more the disclosure risk is reduced the higher the information loss and the lower the data utility. The concept of risk-utility maps that reports this trade-off is explained based on real data.

CAJ 发表于 2025-3-23 09:26:58

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查看完整版本: Titlebook: Statistical Disclosure Control for Microdata; Methods and Applicat Matthias Templ Book 2017 Springer International Publishing AG 2017 62D99