A novel flexible three-parameter zero-inflated discrete distribution with applications in medical-related fields
In this paper, we offer a novel flexible three-parameter zero-inflated discrete distribution that proves to be ideal for the analysis of over-dispersed count data. The first contribution is to determine some of its key properties, such as mean, variance, and expressions for the main generating functions. We then emphasize inference and data analysis applications. The estimation of the three unknown parameters is carried out by means of the maximum likelihood estimation method. Based on the examination of six real data sets, the proposed distribution highlights its practical relevance and versatility in different scenarios. Furthermore, the applied component is fully transparent to the reader: the R computational codes for the proposed distribution are constructed and included in the appendix.
Authors
- Farrukh Jamal (ORCID: https://orcid.org/0000-0001-6192-9890)
- Ehab Mohamed Almetwally (ORCID: https://orcid.org/0000-0002-3888-1275)
- M. A. Abdelkawy (ORCID: https://orcid.org/0000-0002-9043-9644)
- Laila A. Al‐Essa (ORCID: https://orcid.org/0000-0003-2788-8946)
- Christophe Chesneau (ORCID: https://orcid.org/0000-0002-1522-9292)
- Muhammad Imran (ORCID: https://orcid.org/0000-0003-4072-4997)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Islamia University of Bahawalpur (PK)
- Imam Mohammad ibn Saud Islamic University (SA)
- Université de Caen Normandie (FR)
Publication Details
- Journal
- Journal of Radiation Research and Applied Sciences
- Published
- 2025-04-26
- DOI
- https://doi.org/10.1016/j.jrras.2025.101515
- Citations
- 1
- Primary Topic
- Advanced Statistical Methods and Models
- Type
- article
- Field-Weighted Citation Impact
- 2.63