Publication:
The Negative Binomial-Generalized Lindley Distribution for Overdispersed Data

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Issued Date

2022

Resource Type

Article

File Type

application/pdf

DOI

10.1134/S1995080222120058

Rights Holder(s)

Scopus

Bibliographic Citation

Lobachevskii Journal of Mathematics. Vol 43, No.9 (2022), p.2378-2386

Suggested Citation

Atikankul Y., Wattanavisut A., Liu S. The Negative Binomial-Generalized Lindley Distribution for Overdispersed Data. Lobachevskii Journal of Mathematics. Vol 43, No.9 (2022), p.2378-2386. doi:10.1134/S1995080222120058 Retrieved from: https://hdl.handle.net/20.500.14740/10905

Title

The Negative Binomial-Generalized Lindley Distribution for Overdispersed Data

Author(s)

Atikankul Y.
 Wattanavisut A.
 Liu S.

Other Contributor(s)

Srinakharinwirot University

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.

Subject(s)

Generalized Lindley distribution
 Maximum likelihood estimation
 Mixed negative binomial distribution
 Overdispersion
 Generalized Lindley distribution
 Maximum likelihood estimation
 Mixed negative binomial distribution
 Overdispersion

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URI

https://hdl.handle.net/20.500.14740/10905

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Scopus: Year 2022

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