Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.15930 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908374079111168 |
|---|---|
| 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. Additionally, we derive an efficient algorithm for sampling from the betaized Meixner-Morris density, which is proportional to the product of two generalized hyperbolic secant densities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_15930 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Simulating random variates from the Pearson IV and betaized Meixner-Morris distributions Devroye, Luc Hill, Joe R. Computation G3, I6 We develop uniformly fast random variate generators for the Pearson IV distribution that can be used over the entire range of both shape parameters. Additionally, we derive an efficient algorithm for sampling from the betaized Meixner-Morris density, which is proportional to the product of two generalized hyperbolic secant densities. |
| title | Simulating random variates from the Pearson IV and betaized Meixner-Morris distributions |
| topic | Computation G3, I6 |
| url | https://arxiv.org/abs/2505.15930 |