In this research work we introduce a new sampling design, namely a two-stage cluster sampling, where probability … proportional to size with replacement is used in the first stage unit and ranked set sampling in the second in order to address the … issue of marked variability in the sizes of population units concerned with first stage sampling. We obtained an unbiased …

proposed algorithm, which is based on tempered importance sampling, adapts the model-based density forecasts to target …

macroeconomic models. It allows sampling from particularly challenging, high-dimensional black-box posterior distributions which may …

In many sampling surveys, the use of auxiliary information at either the design or estimation stage, or at both these … precision in the estimation of population density. Adaptive cluster sampling (ACS) was proposed to observe rare units with the … estimators. This sampling design proved to be more precise than its more conventional counterparts, including simple random …

states and model variables, which is sparse and banded in many economic applications and allows for efficient sampling. The … existing literature on precision-based sampling is focused on complete-data applications, whereas the proposed samplers in this …

In this research work we introduce a new sampling design, namely a two-stage cluster sampling, where probability … proportional to size with replacement is used in the first stage unit and ranked set sampling in the second in order to address the … issue of marked variability in the sizes of population units concerned with first stage sampling. We obtained an unbiased …