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 ...

Such initial designs include systematic sampling, strip sampling, and other forms of classical cluster sampling. But because of the subsequent addition to the sample of secondary units in the ...

Abstract:In this paper a new hybrid swarm intelligence algorithm is proposed that blends traditional swarm intelligence (SI) framework with random sampling to have an improved search through large ...

cluster-over-sampling Implementation of a general interface for clustering based over-sampling algorithms [1], [2]. It is compatible with scikit-learn and imbalanced-learn.

Quantitative estimates of abundance for rare plants can be difficult, as the most widely used sampling techniques are ill-suited for rarity. Adaptive cluster sampling (ACS) can take advantage of the ...

Abstract: In this paper a new hybrid swarm intelligence algorithm is proposed that blends traditional swarm intelligence (SI) framework with random sampling to have an improved search through large ...