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The Negative Binomial-Generalized Lindley Distribution for Overdispersed Data

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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.date.issuedBE2565
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.format.mimetypeapplication/pdf
dc.identifier.citationLobachevskii Journal of Mathematics. Vol 43, No.9 (2022), p.2378-2386
dc.identifier.doi10.1134/S1995080222120058
dc.identifier.urihttps://hdl.handle.net/20.500.14740/10905
dc.publisherPleiades Publishing
dc.rights.holderScopus
dc.subject.otherGeneralized Lindley distribution
dc.subject.otherMaximum likelihood estimation
dc.subject.otherMixed negative binomial distribution
dc.subject.otherOverdispersion
dc.subject.otherGeneralized Lindley distribution
dc.subject.otherMaximum likelihood estimation
dc.subject.otherMixed negative binomial distribution
dc.subject.otherOverdispersion
dc.titleThe Negative Binomial-Generalized Lindley Distribution for Overdispersed Data
dc.typeArticle
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85144924028&doi=10.1134%2fS1995080222120058&partnerID=40&md5=26603cd5b90a19a24f63a572e8362e3b

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