A novel discrete slash family of distributions with application to epidemiology informatics data
- Title
- A novel discrete slash family of distributions with application to epidemiology informatics data
- Creator
- Joseph J.; Gillariose J.
- Description
- This study puts forward a new class of discrete distribution that can be used by the epidemiologists and medical scientists to model data relating to epidemiology informatics. The proposed distribution is superior to traditional discrete modeling alternatives, viz., discrete Weibull and geometric distributions in terms of its model fit and flexibility to handle heavy-tailed dataset. It is a flexible three-parameter discrete distribution, grounded in the slash family and can be considered as a refined extension to the geometric distribution. We explored the diverse properties of this novel distribution thoroughly by evaluating the mathematical properties. The models parameters are estimated using the maximum likelihood estimation method, where the methodology validity is confirmed through an extensive simulation study. Furthermore, the practical utility of the distribution to model epidemiology informatics was examined with the help of eight different datasets representing three different dimensions of the epidemiology informatics, viz., mortality, infection and medication statistics. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
- Source
- International Journal of Data Science and Analytics
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Discrete distributions; Exponential distribution; Geometric distribution; Heavy tails; Maximum likelihood estimation; Slash distributions
- Coverage
- Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O, Peermade, Kerala, Idukki, 685531, India; Gillariose J., Department of Statistics and Data Science, CHRIST (Deemed to be University), Dharmaram College Post, Hosur Road, Karnataka, Bangalore, 560029, India
- Rights
- Restricted Access
- Relation
- ISSN: 2364415X
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Joseph J.; Gillariose J., “A novel discrete slash family of distributions with application to epidemiology informatics data,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/13605.