A note on the maximum probability of ultra log-concave distributions
Heshan Aravinda
Statistics & Probability Letters, 2025, vol. 223, issue C
Abstract:
Jakimiuk et al. (2024) have proved that, if X is an ultra log-concave random variable with integral mean, then maxnP{X=n}≥maxnP{Z=n}, where Z is a Poisson random variable with the parameter E[X]. In this note, we show that this inequality does not always hold true when X is ultra log-concave with E[X]>1.
Keywords: Ultra log-concave distributions; Log concavity; Poisson distribution; Maximum (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016771522500063X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:223:y:2025:i:c:s016771522500063x
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2025.110418
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().