Model-based Inference for Rare and Clustered Populations from Adaptive Cluster Sampling using Auxiliary Variables

Izabel Nolau de Souza, Kelly Cristina Mota Gonçalves, João Batista de Morais Pereira

Rare populations, such as endangered animals and plants, drug users and individuals with rare diseases, tend to cluster in regions. Adaptive cluster sampling is generally applied t…