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Adaptive Stratified Sampling

Adaptive stratified sampling divides the population into strata and then applies an adaptive rule within each stratum: whenever an initially selected unit satisfies a pre-specified condition (e.g., a rare species is found, a variable exceeds a threshold), neighboring or related units are added to the sample. This combines the variance-reduction power of stratification with the ability to concentrate sampling effort where the phenomenon of interest is actually present.

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Taksonoomiline meetodikirje · process-pipeline / survey-methodology

Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. · DOI 10.2307/2289601
Thompson, S. K. (2002). Sampling (2nd ed.). Wiley-Interscience. · ISBN 978-0471360100

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Taxonomic bucketAdaptive Cluster Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDisproportional Stratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultistage Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketProportional Stratified Samplingmachine-suggested · Relational suggestion, not evidence.Same method familyStratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSystematic Samplingmachine-suggested · Relational suggestion, not evidence.