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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.05199 |
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| _version_ | 1866914193163157504 |
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| author | Sevinc, Volkan Tsagris, Michail |
| author_facet | Sevinc, Volkan Tsagris, Michail |
| contents | Not many tests exist for testing the equality for two or more multivariate distributions with compositional data, perhaps due to their constrained sample space. At the moment, there is only one test suggested that relies upon random projections. We propose a novel test termed α-Energy Based Test (α-EBT) to compare the multivariate distributions of two (or more) compositional data sets. Similar to the aforementioned test, the new test makes no parametric assumptions about the data and, based on simulation studies it exhibits higher power levels. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_05199 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Energy Based Equality of Distributions Testing for Compositional Data Sevinc, Volkan Tsagris, Michail Methodology Not many tests exist for testing the equality for two or more multivariate distributions with compositional data, perhaps due to their constrained sample space. At the moment, there is only one test suggested that relies upon random projections. We propose a novel test termed α-Energy Based Test (α-EBT) to compare the multivariate distributions of two (or more) compositional data sets. Similar to the aforementioned test, the new test makes no parametric assumptions about the data and, based on simulation studies it exhibits higher power levels. |
| title | Energy Based Equality of Distributions Testing for Compositional Data |
| topic | Methodology |
| url | https://arxiv.org/abs/2412.05199 |