Código QR (código de barras bidimensional)

New robust ridge-type estimators for beta regression under multicollinearity and outliers with application to breast cancer data

The beta regression model (BRM) is a widely applied modeling approach for data bounded within the open interval (0, 1), and it is extensively used in fields such as chemistry, environmental science, medicine, and biology. Parameter estimation in these models is conventionally performed using the max...

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Principais autores: Ali T. Hammad, I. Elbatal, Ohud A. Alqasem, Ehab M. Almetwally, Amin M. A. Haleeb, Abdirashid M. Yousuf, M. M. Abd El-Raouf, Ahmed M. Gemeay
Format: Artigo
Sprog:Inglês
Udgivet: Taylor & Francis Group 2025-12-01
Serier:Applied Mathematics in Science and Engineering
Fag:
Beta regression model
biased estimator
outliers
multicollinearity
robust estimator
SMLE
Online adgang:https://www.tandfonline.com/doi/10.1080/27690911.2025.2590432
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