Adaptive cluster sampling is a probabilistic design tailored to populations that exhibit rare or spatially clustered features, such as endangered species, epidemic cases or hidden cultural artefacts.

The estimation of the population variance of a study variable is an important task in survey sampling which has diverse applications in sectors like health sciences, finance, agriculture and ...