Skinner and Elliot (2002) proposed a simple measure of disclosure risk for survey microdata and showed how to estimate this measure under sampling with equal probabilities. In this paper we show how their results on point estimation and variance estimation may be extended to handle unequal probability sampling. Our approach assumes a Poisson sampling design. Comments are made about the possible impact of departures from this assumption
When statistical agencies release microdata to the public, malicious users (intruders) may be able t...
Protection against disclosure is a legal and ethical obligation for agencies releasing microdata fil...
Abstract. Statistical agencies release microdata from social surveys as public-use files after apply...
Skinner and Elliot (2002) proposed a simple measure of disclosure risk for survey microdata and show...
Protection against disclosure is important for statistical agencies releasing microdata files from s...
Measures of disclosure risk at the record level have a variety of potential uses in statistical disc...
Statistical Agencies need to make informed decisions when releasing sample microdata from social sur...
Government statistical agencies often apply statistical disclosure limitation techniques to survey m...
Government statistical agencies often apply statistical disclosure limitation techniques to survey m...
Government statistical agencies often apply statistical disclosure limitation techniques to survey m...
We consider the assessment of disclosure risk in the release of microdata from social surveys as pub...
We review the influential research carried out by Chris Skinner in the area of statistical disclosur...
Statistical disclosure control refers to the methodology used in the design of the statistical outpu...
Statistical data protection, also known as statistical disclosure control, is about methods that try...
Two trends have been on a collision course over the recent past. The first is the increasing demand ...
When statistical agencies release microdata to the public, malicious users (intruders) may be able t...
Protection against disclosure is a legal and ethical obligation for agencies releasing microdata fil...
Abstract. Statistical agencies release microdata from social surveys as public-use files after apply...
Skinner and Elliot (2002) proposed a simple measure of disclosure risk for survey microdata and show...
Protection against disclosure is important for statistical agencies releasing microdata files from s...
Measures of disclosure risk at the record level have a variety of potential uses in statistical disc...
Statistical Agencies need to make informed decisions when releasing sample microdata from social sur...
Government statistical agencies often apply statistical disclosure limitation techniques to survey m...
Government statistical agencies often apply statistical disclosure limitation techniques to survey m...
Government statistical agencies often apply statistical disclosure limitation techniques to survey m...
We consider the assessment of disclosure risk in the release of microdata from social surveys as pub...
We review the influential research carried out by Chris Skinner in the area of statistical disclosur...
Statistical disclosure control refers to the methodology used in the design of the statistical outpu...
Statistical data protection, also known as statistical disclosure control, is about methods that try...
Two trends have been on a collision course over the recent past. The first is the increasing demand ...
When statistical agencies release microdata to the public, malicious users (intruders) may be able t...
Protection against disclosure is a legal and ethical obligation for agencies releasing microdata fil...
Abstract. Statistical agencies release microdata from social surveys as public-use files after apply...