Ridge Regression Method and Bayesian Estimators under Composite LINEX Loss Function to Estimate the Shape Parameter in Lomax Distribution

In this paper, the Ridge Regression method is employed to estimate the shape parameter of the Lomax distribution (LD). In addition to that, the approaches of both classical and Bayesian are considered with several loss functions as a squared error (SELF), Linear Exponential (LLF), and Composite Line...

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Detalles Bibliográficos
Autores principales: Yassen, Mansour F., Al-Duais, Fuad S., Almazah, Mohammed M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444360/
https://www.ncbi.nlm.nih.gov/pubmed/36072714
http://dx.doi.org/10.1155/2022/1200611

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444360/
https://www.ncbi.nlm.nih.gov/pubmed/36072714
http://dx.doi.org/10.1155/2022/1200611

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