1. Srinakharinwirot University Institutional Repository
  2. Articles from Academic Databases : SCOPUS
  3. Scopus 2022
Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/29096
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAtikankul Y.
dc.contributor.authorWattanavisut A.
dc.contributor.authorLiu S.
dc.contributor.otherSrinakharinwirot University
dc.date.accessioned2023-11-15T01:54:30Z-
dc.date.available2023-11-15T01:54:30Z-
dc.date.issued2022
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85144924028&doi=10.1134%2fS1995080222120058&partnerID=40&md5=26603cd5b90a19a24f63a572e8362e3b
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/29096-
dc.description.abstractAbstract: In this paper, a new count distribution for overdispersed data is introduced. The distribution is a mixture of the negative binomial and generalized Lindley distributions. This new distribution contains the negative binomial-Lindley distribution as a special case. Some statistical properties are studied. The parameters estimation procedure is obtained by the method of maximum likelihood. Simulation studies are performed to assess the performance of the maximum likelihood estimators. Finally, real overdispersed data sets are analyzed to show the usefulness of the distribution. © 2022, Pleiades Publishing, Ltd.
dc.publisherPleiades Publishing
dc.subjectgeneralized Lindley distribution
dc.subjectmaximum likelihood estimation
dc.subjectmixed negative binomial distribution
dc.subjectoverdispersion
dc.subjectgeneralized Lindley distribution
dc.subjectmaximum likelihood estimation
dc.subjectmixed negative binomial distribution
dc.subjectoverdispersion
dc.titleThe Negative Binomial-Generalized Lindley Distribution for Overdispersed Data
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationLobachevskii Journal of Mathematics. Vol 43, No.9 (2022), p.2378-2386
dc.identifier.doi10.1134/S1995080222120058
Appears in Collections:Scopus 2022

Files in This Item:
There are no files associated with this item.
Show simple item record


Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.