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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.01586 |
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| _version_ | 1866915974394937344 |
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| author | Devroye, Luc Hill, Joe R. |
| author_facet | Devroye, Luc Hill, Joe R. |
| contents | We develop uniformly fast random variate generators for the Pearson IV distribution that can be used over the entire range of both shape parameters and highlight some applications in a Bayesian setting. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_01586 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The Pearson IV distribution: Random variate generation and applications Devroye, Luc Hill, Joe R. Computation Statistics Theory 65C10, 65C05, 11K45, 68U20 We develop uniformly fast random variate generators for the Pearson IV distribution that can be used over the entire range of both shape parameters and highlight some applications in a Bayesian setting. |
| title | The Pearson IV distribution: Random variate generation and applications |
| topic | Computation Statistics Theory 65C10, 65C05, 11K45, 68U20 |
| url | https://arxiv.org/abs/2605.01586 |