Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters

Research article (Statistics and Computing, 2015) · cited 34× · AI/ML
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Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters

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Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters. Retrieved May 24, 2026, from https://4ort.xyz/entity/flexible-parametric-bootstrap-for-testing-homogeneity-against-clustering-and-assessing-the-number-of-clusters
MLA “Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/flexible-parametric-bootstrap-for-testing-homogeneity-against-clustering-and-assessing-the-number-of-clusters.
BibTeX @misc{4ortxyz_flexible-parametric-bootstrap-for-testing-homogeneity-against-clustering-and-assessing-the-number-of-clusters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters}}, year = {2026}, url = {https://4ort.xyz/entity/flexible-parametric-bootstrap-for-testing-homogeneity-against-clustering-and-assessing-the-number-of-clusters}, note = {Accessed: 2026-05-24}}
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