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Tight bounds for the median of a gamma distribution
The median of a standard gamma distribution, as a function of its shape parameter k, has no known representation in terms of elementary functions. In this work we prove the tightest upper and lower bounds of the form 2(−1/k)(A + k): an upper bound with A = e(−γ) (with γ being the Euler–Mascheroni co...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490949/ https://www.ncbi.nlm.nih.gov/pubmed/37682854 http://dx.doi.org/10.1371/journal.pone.0288601 |
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author | Lyon, Richard F. |
author_facet | Lyon, Richard F. |
author_sort | Lyon, Richard F. |
collection | PubMed |
description | The median of a standard gamma distribution, as a function of its shape parameter k, has no known representation in terms of elementary functions. In this work we prove the tightest upper and lower bounds of the form 2(−1/k)(A + k): an upper bound with A = e(−γ) (with γ being the Euler–Mascheroni constant) and a lower bound with [Image: see text] . These bounds are valid over the entire domain of k > 0, staying between 48 and 55 percentile. We derive and prove several other new tight bounds in support of the proofs. |
format | Online Article Text |
id | pubmed-10490949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-104909492023-09-09 Tight bounds for the median of a gamma distribution Lyon, Richard F. PLoS One Research Article The median of a standard gamma distribution, as a function of its shape parameter k, has no known representation in terms of elementary functions. In this work we prove the tightest upper and lower bounds of the form 2(−1/k)(A + k): an upper bound with A = e(−γ) (with γ being the Euler–Mascheroni constant) and a lower bound with [Image: see text] . These bounds are valid over the entire domain of k > 0, staying between 48 and 55 percentile. We derive and prove several other new tight bounds in support of the proofs. Public Library of Science 2023-09-08 /pmc/articles/PMC10490949/ /pubmed/37682854 http://dx.doi.org/10.1371/journal.pone.0288601 Text en © 2023 Richard F. Lyon https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lyon, Richard F. Tight bounds for the median of a gamma distribution |
title | Tight bounds for the median of a gamma distribution |
title_full | Tight bounds for the median of a gamma distribution |
title_fullStr | Tight bounds for the median of a gamma distribution |
title_full_unstemmed | Tight bounds for the median of a gamma distribution |
title_short | Tight bounds for the median of a gamma distribution |
title_sort | tight bounds for the median of a gamma distribution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490949/ https://www.ncbi.nlm.nih.gov/pubmed/37682854 http://dx.doi.org/10.1371/journal.pone.0288601 |
work_keys_str_mv | AT lyonrichardf tightboundsforthemedianofagammadistribution |