Abstract
In forestry and environmental sciences, some species of plants and animals are rare and clustered, i.e., abundance of zeros. The traditional sampling methods provide poor estimates of the population mean/total. In such situations, adaptive sampling is useful. In traditional stratified sampling, similar units are grouped a priori into strata, based on prior information about the population. But within a stratum, the population is rare and clumped.
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Latpate, R., Kshirsagar, J., Kumar Gupta, V., Chandra, G. (2021). Stratified Inverse Adaptive Cluster Sampling. In: Advanced Sampling Methods. Springer, Singapore. https://doi.org/10.1007/978-981-16-0622-9_15
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DOI: https://doi.org/10.1007/978-981-16-0622-9_15
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