The stress-strength reliability model with component strength under partially accelerated life test
From MaRDI portal
Publication:6141685
DOI10.1080/03610918.2021.1966464OpenAlexW3194486097MaRDI QIDQ6141685
Publication date: 23 January 2024
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2021.1966464
Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
Cites Work
- Unnamed Item
- Unnamed Item
- Estimation in step-stress partially accelerated life tests for the Burr type XII distribution using type I censoring
- Statistical inference for competing risks model in step-stress partially accelerated life tests with progressively type-I hybrid censored Weibull life data
- Theoretical comparison of bootstrap confidence intervals
- Bayesian inference for Pareto populations
- Quality control and reliability
- Inference for a step-stress partially accelerated life test model with an adaptive type-II progressively hybrid censored data from Weibull distribution
- Bayes estimation of Gompertz distribution parameters and acceleration factor under partially accelerated life tests with type-I censoring
- A Distribution-Free Upper Confidence Bound for $\Pr \{Y < X\}$, Based on Independent Samples of $X$ and $Y$
- A First Course in Bayesian Statistical Methods
- Bayesian estimation and optimal designs in partially accelerated life testing
- Accelerated Life Testing - Step-Stress Models and Data Analyses
- Estimation of Reliability in a Multicomponent Stress-Strength Model
- Empirical Bayes: Past, Present and Future
- On estimation ofR=P(Y<X) for exponential distribution under progressive type-II censoring
- On estimating a stress-strength type reliability
- The Estimation of Reliability from Stress-Strength Relationships
This page was built for publication: The stress-strength reliability model with component strength under partially accelerated life test
