Development of a novel extension of Rayleigh distribution with application to COVID-19 data
Abstract Effective analysis of medical data is essential for understanding complex healthcare phenomena. Probability distribution models offer a structured approach to uncover patterns in such data, particularly for studying disease progression, survival analysis and many more. In this study, we exp...
Saved in:
| Main Authors: | Danish Qayoom, Aafaq A. Rather, Ohud A. Alqasem, Zahoor Ahmad, M. Nagy, Abdirashid M. Yousuf, A. H. Mansi, Eslam Hussam, Ahmed M. Gemeay |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-03645-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Introducing novel arc cosine- $$\Psi$$ class of distribution with theory and data evaluation related to coronavirus
by: Aijaz Ahmad, et al.
Published: (2025-04-01) -
Quality assurance through truncated life tests under the Lomax distribution
by: Aafaq A. Rather, et al.
Published: (2025-07-01) -
Inverse unit compound Rayleigh distribution: statistical properties with applications in different fields
by: Hatem E. Semary, et al.
Published: (2025-08-01) -
Strategic vegetable crop distribution in Himachal Pradesh for sustainable economic and environmental outcomes
by: Nikhil Chandel, et al.
Published: (2025-06-01) -
A novel extension of the power lindley distribution with statistical properties and application to COVID-19 data
by: Danish Qayoom, et al.
Published: (2025-08-01)