THE MAXIMUM LIKELIHOOD ESTIMATES IN STEP PARTIALLY ACCELERATED LIFE TESTS FOR THE WEIBULL PARAMETERS IN CENSORED DATA

DOI10.1081/STA-120003134zbMath1009.62586OpenAlexW1971002817MaRDI QIDQ4540745

Magda M. Abdel-Ghani, A. F. Attia, Abdalla A. Abdel-Ghaly

Publication date: 28 July 2002

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

Full work available at URL: https://doi.org/10.1081/sta-120003134

Mathematics Subject Classification ID

Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (8)

Partially Accelerated Life Tests for the Weibull Distribution Under Multiply Censored Data ⋮ Optimum step-stress partially accelerated life tests for the truncated logistic distribution with censoring ⋮ Bayesian and non-Bayesian inference for a general family of distributions based on simple step-stress life test using TRV model under type II censoring ⋮ Step partially accelerated life tests under finite mixture models ⋮ Estimation in step-stress partially accelerated life tests for the Burr type XII distribution using type I censoring ⋮ Bayes estimation of Gompertz distribution parameters and acceleration factor under partially accelerated life tests with type-I censoring ⋮ RETRACTED ARTICLE: Optimal planning of failure-step stress partially accelerated life tests under type-II censoring ⋮ Statistical inference of generalized progressive hybrid censored step-stress accelerated dependent competing risks model for Marshall-Olkin bivariate Weibull distribution

Cites Work

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• Planning Accelerated Life Tests with Two or More Experimental Factors
• An Optimal Sequential Accelerated Life Test
• Optimal Accelerated Life Designs for Estimation
• A tampered failure rate model for step-stress accelerated life test
• Bayes estimation of the parameters and reliability function of the 3-parameter Weibull distribution
• Bayesian estimation and optimal designs in partially accelerated life testing
• Optimal design of partially accelerated life tests for the exponential distribution under type-I censoring

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