dc.contributor.author
Badiella, L.
dc.contributor.author
del Castillo, J.
dc.contributor.author
Puig, P.
dc.date.accessioned
2023-08-29T12:11:18Z
dc.date.accessioned
2024-09-19T14:35:27Z
dc.date.available
2023-08-29T12:11:18Z
dc.date.available
2024-09-19T14:35:27Z
dc.date.issued
2023-06-26
dc.identifier.uri
http://hdl.handle.net/2072/536869
dc.description.abstract
In this work we show that discrete order statistics preserve log-concavity and ultra log-concavity. We use a recursive expression for discrete order statistics and the concept of synchronized sequences. This finding allows to conclude that Poisson order statistics are underdispersed. © 2023 The Authors
eng
dc.description.sponsorship
This work was partially funded by the grants RTI2018-096072-B-I00 from the Spanish Ministry of Science, Innovation and Universities and CEX2020-001084-M from the Spanish State Research Agency , through the Severo Ochoa and María de Maeztu Program for Centers and Units of Excellence in R&D.
dc.format.extent
4 p.
cat
dc.publisher
Elsevier B.V.
cat
dc.relation.ispartof
Statistics and Probability Letters
cat
dc.rights
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: https://creativecommons.org/licenses/by/4.0/
dc.source
RECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.other
Poisson distribution; Underdispersion
cat
dc.title
Ultra log-concavity of discrete order statistics
cat
dc.type
info:eu-repo/semantics/article
cat
dc.type
info:eu-repo/semantics/publishedVersion
cat
dc.identifier.doi
10.1016/j.spl.2023.109900
cat
dc.rights.accessLevel
info:eu-repo/semantics/openAccess
