Statistical inference of Lomax distribution based on adaptive progressive Type-II hybrid censored competing risks data

DOI10.1080/03610926.2022.2056750OpenAlexW4221075464MaRDI QIDQ6078251

Xinyan Qin, Wenhao Gui

Publication date: 24 October 2023

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2022.2056750

zbMATH Keywords

maximum likelihood estimationBayesian methodcompeting risks modelMCMC techniqueadaptive progressive type-II hybrid censoring

Mathematics Subject Classification ID

Estimation in survival analysis and censored data (62N02)

Cites Work

• The art of progressive censoring. Applications to reliability and quality
• Adaptive progressive type-II censoring
• Estimation of the inverse Weibull parameters under adaptive type-II progressive hybrid censoring scheme
• Progressively type-II censored competing risks data from Lomax distributions
• Analysis of type-II progressively hybrid censored data
• Bayesian analysis of Weibull distribution based on progressive type-II censored competing risks data with binomial removals
• Estimation for the exponentiated Weibull model with adaptive type-II progressive censored schemes
• Life distributions. Structure of nonparametric, semiparametric, and parametric families.
• Progressive censoring methodology: an appraisal (with comments and rejoinder)
• Statistical analysis of exponential lifetimes under an adaptive Type-II progressive censoring scheme
• Heavy-Tailed Distributions: Properties and Tests
• Simultaneous Confidence Intervals for the Parameters of Pareto Distribution under Progressive Censoring
• Statistical inference for the extreme value distribution under adaptive Type-II progressive censoring schemes
• Business Failures: Another Example of the Analysis of Failure Data

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