A novel statistical approach for two-sample testing based on the overlap coefficient
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2022
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| _version_ | 1866918337117683712 |
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| author | Komaba, Atsushi Johno, Hisashi Nakamoto, Kazunori |
| author_facet | Komaba, Atsushi Johno, Hisashi Nakamoto, Kazunori |
| contents | Here we propose a new nonparametric framework for two-sample testing, named as the OVL-$q$ ($q = 1, 2, \ldots$). This can be regarded as a natural extension of the Smirnov test, which is equivalent to the OVL-1. We specifically focus on the OVL-2, implement its fast algorithm, and show its superiority over other statistical tests in some experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2206_03166 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | A novel statistical approach for two-sample testing based on the overlap coefficient Komaba, Atsushi Johno, Hisashi Nakamoto, Kazunori Statistics Theory Discrete Mathematics Mathematical Software Probability Methodology 62G10 (Primary), 62-04 (Secondary) Here we propose a new nonparametric framework for two-sample testing, named as the OVL-$q$ ($q = 1, 2, \ldots$). This can be regarded as a natural extension of the Smirnov test, which is equivalent to the OVL-1. We specifically focus on the OVL-2, implement its fast algorithm, and show its superiority over other statistical tests in some experiments. |
| title | A novel statistical approach for two-sample testing based on the overlap coefficient |
| topic | Statistics Theory Discrete Mathematics Mathematical Software Probability Methodology 62G10 (Primary), 62-04 (Secondary) |
| url | https://arxiv.org/abs/2206.03166 |