Zero-truncated Poisson-Lindley distribution

Authors

  • Afida Nurul Hilma Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, 16424, Indonesia
  • Dian Lestari Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, 16424, Indonesia
  • Sindy Devila Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, 16424, Indonesia

DOI:

https://doi.org/10.29244/icsa.2019.pp40-50

Keywords:

Maximum Likelihood Method, Over-dispersion, Under-dispersion, Zero Count

Abstract

In order to find a counting distribution that can handle the condition when the data has no zero-count. Distribution named Zero-truncated Poisson-Lindley distribution is developed. It can handle the condition when the data has no zero-count both in over-dispersion and under-dispersion. In this paper, characteristics of Zero-truncated Poisson-Lindley distribution are obtained and estimate distribution parameters using the maximum likelihood method. Then, the application of the model to real data is given.

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Published

2021-02-26

Issue

Proceeding of International Conference on Statistics and Analytics - 2019

Section

Articles