New robust estimator for handling outliers and multicollinearity in gamma regression model with application to breast cancer data.
Saved in:
| Title: | New robust estimator for handling outliers and multicollinearity in gamma regression model with application to breast cancer data. |
|---|---|
| Authors: | Alshangiti AM; Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia., Gemeay AM; Department of Mathematics, Faculty of Science, Tanta University, Tanta 31527, Egypt., Bakr ME; Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia., Yousuf AM; Research and Innovation Center, Amoud University, Borama, 25263, Somaliland. gees@amoud.edu.so., El-Qurashi MA; Institute of Basic and Applied Science, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, P.O. Box 1029, Abu Quir Campus, Alexandria, Egypt., Balogun OS; Department of Computing, University of Eastern Finland, Kuopio, 70211, Finland., Hussam E; Department of Mathematics, Faculty of Science, Helwan University, Cairo, Egypt., Hammad AT; Department of Mathematics, Faculty of Science, Tanta University, Tanta 31527, Egypt. |
| Source: | Scientific reports [Sci Rep] 2025 Nov 03; Vol. 15 (1), pp. 38436. Date of Electronic Publication: 2025 Nov 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-025-25231-w |
