Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/29096
Title: The Negative Binomial-Generalized Lindley Distribution for Overdispersed Data
Authors: Atikankul Y.
Wattanavisut A.
Liu S.
Keywords: generalized Lindley distribution
maximum likelihood estimation
mixed negative binomial distribution
overdispersion
generalized Lindley distribution
maximum likelihood estimation
mixed negative binomial distribution
overdispersion
Issue Date: 2022
Publisher: Pleiades Publishing
Abstract: Abstract: 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.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144924028&doi=10.1134%2fS1995080222120058&partnerID=40&md5=26603cd5b90a19a24f63a572e8362e3b
https://ir.swu.ac.th/jspui/handle/123456789/29096
Appears in Collections:Scopus 2022

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