Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...
This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling ...
Abstract: Deep metric learning has gained significant attention recently due to its promising performance in image retrieval, face recognition, and clustering tasks. Deep metric learning algorithms ...
This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, p. 652). A total of 284 Swedish ...
ABSTRACT: This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster ...
Installation documentation, API documentation, and examples can be found on the documentation. If you use cluster-over-sampling in a scientific publication, we would appreciate citations to any of the ...
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