Multi-component reliability inference in modified Weibull extension distribution and progressive censoring scheme

DOI10.1007/s40840-022-01453-3OpenAlexW4315481964MaRDI QIDQ2683162

Carlos J. Pérez-González, Arturo J. Fernández, Akram Kohansal

Publication date: 3 February 2023

Published in: Bulletin of the Malaysian Mathematical Sciences Society. Second Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40840-022-01453-3

zbMATH Keywords

Bayes estimationclassical estimationmulti-component reliabilityprogressive censored

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02)

Cites Work

• A new two-parameter lifetime distribution with bathtub shape or increasing failure rate function
• A new extension of Weibull distribution: properties and different methods of estimation
• Estimation of reliability in a multicomponent stress-strength model based on a bivariate Kumaraswamy distribution
• The power XLindley distribution: statistical inference, fuzzy reliability, and COVID-19 application
• On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample
• Objective Bayesian analysis for generalized exponential stress-strength model
• Estimation of Reliability in a Multicomponent Stress-Strength Model
• Stress–strength reliability of a non-identical-component-strengths system based on upper record values from the family of Kumaraswamy generalized distributions
• Multi-component stress–strength parameter estimation of a non-identical-component strengths system under the adaptive hybrid progressive censoring samples
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