Identifying unimodal finite mixture models in data sets using distribution shifting – A novel approach
Finite mixture models represent data distributions composed of several overlapping sub-distributions instead of a single distribution. However, there are few methods and statistical tests for examining the distribution of variables in experimental data to determine if they arise from single or multi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302501463X |
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