Volume 16, Issue 4, December 2017, Pages 576 - 588
A New Quasi Poison-Lindley Distribution: Properties and Applications
Authors
Munindra Borah, Junali Hazarika
Corresponding Author
Junali Hazarika
Received 6 April 2016, Accepted 10 May 2017, Available Online 1 December 2017.
- DOI
- 10.2991/jsta.2017.16.4.11How to use a DOI?
- Keywords
- Unimodality, Overdispersion, Method of Moments and Method of Maximum Likelihood estimation.
- Abstract
A new two parameter quasi Poisson Lindley (NQPL) distribution is derived by using the general approach of compounding. One parameter Lindley distribution and geometric distribution may be obtained as a particular case. The new distribution is shown to be unimodal and overdispersed. A few distributional properties and recurrence relation of the proposed distribution are examined. The size biased new quasi Poisson Lindley (SBNQPL) distribution is also discussed. The method of moments and method of maximum likelihood have been used for estimating the parameters for both NQPL and SBNQPL distributions have been fitted to some real data sets for testing its goodness of fit and found to perform better than other basic distributions.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Munindra Borah AU - Junali Hazarika PY - 2017 DA - 2017/12/01 TI - A New Quasi Poison-Lindley Distribution: Properties and Applications JO - Journal of Statistical Theory and Applications SP - 576 EP - 588 VL - 16 IS - 4 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.2017.16.4.11 DO - 10.2991/jsta.2017.16.4.11 ID - Borah2017 ER -