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In statistical disclosure control, the goal of data analysis is twofold: the information released must provide accurate and useful statistics about the underlying population of interest, while minimizing the potential for an individual record to be identified. In recent years, the notion of differential privacy has received much attention in theoretical computer science, machine learning and statistics...
When estimating model parameters from survey data, two sources of variability should normally be taken into account for inference purposes: the model that is assumed to have generated data of the finite population, and the sampling design. If the overall sampling fraction is negligible, the model variability can in principle be ignored and bootstrap techniques that track only the sampling design variability...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.