Stratified adaptive cluster sampling refers to designs in which, following an initial stratified sample, additional units are added to the sample from the neighbourhood of any selected unit with an ...

Based on clustered data with informative cluster size, two efficient estimation methods are proposed for marginal models. In our procedures, the information of within-cluster correlation and minimum ...