Likelihood inference for a step-stress partially accelerated life test model with Type-I progressively hybrid censored data from Weibull distribution
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Publication:5219506
DOI10.1080/00949655.2013.836195zbMath1453.62689OpenAlexW2068220852MaRDI QIDQ5219506
Publication date: 12 March 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2013.836195
reliabilityMonte Carlo simulationmaximum likelihoodconfidence intervalWeibull distributionstep-stress partially accelerated life testtype-I progressively hybrid censored data
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- Inference for the Weibull distribution with progressive hybrid censoring
- Estimating the parameters of Weibull distribution and the acceleration factor from hybrid partially accelerated life test
- Bayesian sequential reliability for Weibull and related distributions
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- 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- RETRACTED ARTICLE: Optimal planning of failure-step stress partially accelerated life tests under type-II censoring
- A tampered failure rate model for step-stress accelerated life test
- Bayesian estimation and optimal designs in partially accelerated life testing
- Accelerated Testing
- Optimal design of partially accelerated life tests for the exponential distribution under type-I censoring
- Empirical bayes estimation of reliability characteristics for an exponential family
- Optimum constant-stress life test plans for Pareto distribution under type-I censoring
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