Statistical inference for competing risks model with Type-II generalized hybrid censored of inverse Lomax distribution with applications

This article considered statistical inference based on independent competing risks data from inverse Lomax (ILo) distribution using Type-II generalized hybrid censored dataset. Time-to-failure under many causes of failure, which might be dependent or independent, defines the competing risks model. T...

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Bibliographic Details

Published in:	Alexandria Engineering Journal
Main Authors:	Samah M. Ahmed, Mohamed Abdalla, Al-Wageh A. Farghal
Format:	Article
Language:	English
Published:	Elsevier 2025-04-01
Subjects:	Competing risks model Inverse Lomax distribution Bayesian inference The symmetric and asymmetric loss functions Metropolis–Hastings algorithm Maximum likelihood estimation
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016825000134