A Discrete Kumaraswamy Marshall-Olkin Exponential Distribution
- Title
- A Discrete Kumaraswamy Marshall-Olkin Exponential Distribution
- Creator
- Gillariose J.; Tomy L.; Jamal F.; Chesneau C.
- Description
- Finding new families of distributions has become a popular tool in statistical research. In this article, we introduce a new flexible four-parameter discrete model based on the Marshall-Olkin approach, namely, the discrete Kumaraswamy MarshallOlkin exponential distribution. The proposed distribution can be viewed as another generalization of the geometric distribution and enfolds some important distributions as special cases. Some properties of the new distribution are derived. The model parameters are estimated by the maximum likelihood method, with validation through a complete simulation study. The usefulness of the new model is illustrated via counttype real data sets. 2022. Journal of the Iranian Statistical Society. All Rights Reserved.
- Source
- Journal of the Iranian Statistical Society, Vol-20, No. 2, pp. 129-152.
- Date
- 2022-01-01
- Publisher
- Iranian Statistical Society
- Subject
- Discrete distributions; Exponential distribution; Generalized family; Geometric distribution; Marshall-olkin extended distribution; Maximum likelihood estimation
- Coverage
- Gillariose J., Department of Statistics, CHRIST (Deemed to be University), Karnataka, Hosur Road, Bangalore, 560029, India; Tomy L., Department of Statistics, Deva Matha College, Kerala, Kuravilangad, 686633, India; Jamal F., Department of Statistics, The Islamia University of Bahawalpur, Punjab, 63100, Pakistan; Chesneau C., Universitde Caen, LMNO, Campus II, Science 3, Caen, 14032, France
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 17264057
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Gillariose J.; Tomy L.; Jamal F.; Chesneau C., “A Discrete Kumaraswamy Marshall-Olkin Exponential Distribution,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/15412.