Informative sampling refers to a sampling design for which the sample selection probabilities depend on the values of … response units under informative sampling and nonignorable nonresponse. This is the most general situation in surveys and other … combinations of sampling informativeness and response mechanisms can be considered as special cases. Furthermore, based on the …

instance of precision-based sampling methods that operate on the inverse variance-covariance matrix of the states (also known … other instances of precision-based sampling, computational gains are considerable. Relevant applications include trend …

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 …

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

the current sampling methods for the concentration parameter, which use the continuous baseline distribution. We compare …

Partial ranked set sampling (PRSS) is a cost-effective sampling method. It is a combination of simple random sample … (SRS) and ranked set sampling (RSS) designs. The PRSS method allows flexibility for the experimenter in selecting the …

stratified design, by assuming equal probability two-stage sampling where clusters are small areas. The paper develops allocation …

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