Discrete Lindley distribution

R. Diandarma, S. Nurrohmah, I. Fithriani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


Overdispersion often being a problem in modeling count data because the Poisson distribution that is often used to modeling count data cannot conquer the overdispersion data. Several distributions have been introduced to be used as an alternative to the Poisson distribution on conquering dispersion in data. However, that alternative distribution has higher complexity than Poisson distribution in the number of parameters used. Therefore, a new distribution with similar distribution to Poisson is offered, which is Lindley distribution. Lindley distribution is a continuous distribution, then it cannot be used to modeling count data. Hence, discretization on Lindley distribution should be done using a method that maintains the survival function of Lindley distribution. Result distribution from discretization on Lindley distribution has one parameter and can be used to modeling overdispersion data so that distribution is appropriate to be used as an alternative to Poisson distribution in modeling overdispersed count data. The result distribution of Lindley distribution discretization is commonly called Discrete Lindley distribution. In this paper, characteristics of Discrete Lindley distribution that are obtained are unimodal, right skew, high fluidity and overdispersion. Based on numerical simulation, another characeristic of parameter is also obtained from Discrete Lindley distribution that has a large bias and MSE when parameter value around e-1.

Original languageEnglish
Title of host publicationProceedings of the 5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019
EditorsTerry Mart, Djoko Triyono, Tribidasari Anggraningrum Ivandini
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735420014
Publication statusPublished - 1 Jun 2020
Event5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019 - Depok, Indonesia
Duration: 9 Jul 201910 Jul 2019

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


Conference5th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2019


  • Count data
  • Discrete Lindley distribution
  • Lindley distribution
  • overdispersion
  • Poisson distribution


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