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Inverse Adaptive Cluster Sampling

Biometrics, 2001
Consider a population in which the variable of interest tends to be at or near zero for many of the population units but a subgroup exhibits values distinctly different from zero. Such a population can be described as rare in the sense that the proportion of elements having nonzero values is very small.
Christman, Mary C., Lan, Feng
openaire   +2 more sources

Samples clustering

Medicina i vysokie tehnologii, 2021
statistically motivated clustering, probability based similarity measure, multiple comparisons, random coincidences, branching processes.
openaire   +1 more source

Cluster Sampling

2021
Raosaheb Latpate   +3 more
  +4 more sources

Stratified Adaptive Cluster Sampling

Biometrika, 1991
SUMMARY 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 observed value that satisfies a condition of interest.
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Adaptive Cluster Sampling

Journal of the American Statistical Association, 1990
Abstract In many real-world sampling situations, researchers would like to be able to adaptively increase sampling effort in the vicinity of observed values that are high or otherwise interesting. This article describes sampling designs in which, whenever an observed value of a selected unit satisfies a condition of interest, additional units are added
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Stratified cluster sampling

BMJ, 2013
Researchers investigated the suitability of a newly developed famine scale as an international definition of famine to guide humanitarian response, funding, and accountability.1 The scale had been proposed by Howe and Devereux, and it defined famine on the basis of intensity and magnitude .
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Cluster Sampling

2017
Michelle Newhart, Mildred L. Patten
openaire   +2 more sources

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