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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

Cluster Sampling

2017
Michelle Newhart, Mildred L. Patten
exaly   +3 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

Negative adaptive cluster sampling

Model Assisted Statistics and Applications, 2019
The traditional sampling methods such as simple random sampling, stratified sampling etc. cannot be used to study the rare and clustered populations. Such type of populations are frequently observed in ecological, environmental and social sciences. In such situations, often the auxiliary information is collected along with the variable of interest ...
R. V. Latpate, J. K. Kshirsagar
openaire   +1 more source

Cluster Sampling

2021
Raosaheb Latpate   +3 more
  +4 more sources

Models for cluster randomized designs using ranked set sampling

Statistics in Medicine, 2023
Ömer ÖZTÜRK   +2 more
exaly  

Ultimate Cluster Sampling

Journal of the Royal Statistical Society. Series A (General), 1979
openaire   +2 more sources

An optimal multivariate cluster sampling design

Communications in Statistics - Theory and Methods, 2020
M G M Khan, Mahmood A Rashid
exaly  

Variance estimation in adaptive cluster sampling

Communications in Statistics - Theory and Methods, 2020
Mary Thompson
exaly  

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