Bayesian and Non-Bayesian Inference for the Trigonometric Extended Rayleigh-Weibull Model Under Progressively Censored Data

Bayesian and Non-Bayesian Inference for the Trigonometric Extended Rayleigh-Weibull Model Under Progressively Censored Data

In this paper, a new extension of the Rayleigh-Weibull (RW) model, called the sine Rayleigh-Weibull (SRW) model, is proposed. This model is constructed using the trigonometrically generated family of distributions based on sine functions and involves two parameters. The SRW model provides greater fl...

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Bibliographic Details
Main Authors: Ahmed R. El-Saeed, Ibrahim Elbatal, Ehab M. Almetwally, Mohammed Elgarhy
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
SRW model
EM algorithm
Bayesian estimation
Tierney-Kadane approximation
MCMC
progressive type-II censoring
Online Access:https://ieeexplore.ieee.org/document/11048778/
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