A new extension of the Rayleigh distribution: Methodology, classical, and Bayes estimation, with application to industrial data

A new extension of the Rayleigh distribution: Methodology, classical, and Bayes estimation, with application to industrial data

In statistical modeling, generating a novel family of distributions is essential to develop new and adaptable models to analyze various data sets. This paper presents a new asymmetric extension of the Rayleigh distribution called the generalized Kumaraswamy Rayleigh model. The proposed distribution...

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Bibliographic Details
Main Authors: Alanazi Talal Abdulrahman, Khudhayr A. Rashedi, Tariq S. Alshammari, Eslam Hussam, Amirah Saeed Alharthi, Ramlah H Albayyat
Format: Article
Language:English
Published: AIMS Press 2025-02-01
Series:AIMS Mathematics
Subjects:
bayesian estimator
heavy-tailed
industrial domain
metropolis-hastings technique
simulation experiments
square error loss function
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2025172
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https://www.aimspress.com/article/doi/10.3934/math.2025172

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