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Generalization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets
This article is published by Elsevier, 2024 and is also available at https://doi.org/10.1016/j.heliyon.2024.e30690
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| Language: | English |
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Elsevier
2024
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| _version_ | 1867613136951967744 |
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| access_status_str | Open Access |
| author | Okutu, John Kwadey Frempong, Nana Kena Appiah, Simon K. Adebanji, Atinuke O. |
| author2 | 0000-0002-7138-3526 |
| author_browse | 0000-0002-7138-3526 Adebanji, Atinuke O. Appiah, Simon K. Frempong, Nana Kena Okutu, John Kwadey |
| author_facet | 0000-0002-7138-3526 Okutu, John Kwadey Frempong, Nana Kena Appiah, Simon K. Adebanji, Atinuke O. |
| author_sort | Okutu, John Kwadey |
| collection | Thesis |
| description | This article is published by Elsevier, 2024 and is also available at https://doi.org/10.1016/j.heliyon.2024.e30690 |
| format | Article |
| id | oai:ir.knust.edu.gh:123456789/15876 |
| institution | KNUST (Ghana) |
| language | English |
| last_indexed | 2026-06-10T12:31:21.331Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana) |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| source_str | KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana) |
| spelling | oai:ir.knust.edu.gh:123456789/15876 Generalization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets Okutu, John Kwadey Frempong, Nana Kena Appiah, Simon K. Adebanji, Atinuke O. 0000-0002-7138-3526 This article is published by Elsevier, 2024 and is also available at https://doi.org/10.1016/j.heliyon.2024.e30690 Probability distributions offer the best description of survival data and as a result, various lifetime models have been proposed. However, some of these survival datasets are not followed or suf ficiently fitted by the existing proposed probability distributions. This paper presents a novel Kumaraswamy Odd Ramos-Louzada-G (KumORL-G) family of distributions together with its statistical features, including the quantile function, moments, probability-weighted moments, order statistics, and entropy measures. Some relevant characterizations were obtained using the hazard rate function and the ratio of two truncated moments. In light of the proposed KumORL-G family, a five-parameter sub-model, the Kumaraswamy Odd Ramos-Louzada Burr XII (KumORLBXII) distribution was introduced and its parameters were determined with the maximum likelihood estimation (MLE) technique. Monte Carlo simulation was performed and the numerical results were used to evaluate the MLE technique. The proposed probability distribu tion’s significance and applicability were empirically demonstrated using various complete and censored datasets on the survival times of cancer and diabetes patients. The analytical results showed that the KumORLBXII distribution performed well in practice in comparison to its sub models and several other competing distributions. The new KumORL-G for diabetes and cancer survival data is found extremely efficient and offers an enhanced and novel technique for modeling survival datasets. KNUST 2024-07-26T09:22:34Z 2024-07-26T09:22:34Z 2024 Article Heliyon 10 (2024) e30690 10.1016/j.heliyon.2024.e30690 https://ir.knust.edu.gh/handle/123456789/15876 en application/pdf Elsevier |
| spellingShingle | Okutu, John Kwadey Frempong, Nana Kena Appiah, Simon K. Adebanji, Atinuke O. Generalization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets |
| title | Generalization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets |
| title_full | Generalization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets |
| title_fullStr | Generalization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets |
| title_full_unstemmed | Generalization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets |
| title_short | Generalization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets |
| title_sort | generalization of odd ramos louzada generated family of distributions properties characterizations and applications to diabetes and cancer survival datasets |
| url | https://ir.knust.edu.gh/handle/123456789/15876 |
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