Stress–strength reliability estimation involving paired observation with ties using bivariate exponentiated half-logistic model
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Publication:5073378
DOI10.1080/02664763.2020.1849054OpenAlexW3098904236MaRDI QIDQ5073378
Publication date: 6 May 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2020.1849054
Markov chain Monte Carlo methodtiesmaximum likelihood estimatesBayesian estimationstress-strength reliabilitybivariate exponentiated half-logistic model
Uses Software
Cites Work
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- Estimation of P[ \(Y < X \) for generalized exponential distribution]
- Estimation of \(R=P(Y<X)\) for three-parameter Weibull distribution
- Note on estimation of reliability under bivariate Pareto stress-strength model
- Estimation of reliability in a multicomponent stress-strength model based on a bivariate Kumaraswamy distribution
- A stress-strength model with dependent variables to measure household financial fragility
- A class of bivariate models with proportional reversed hazard marginals
- Time-dependent stress-strength reliability models based on phase type distribution
- Bayes estimation for the Marshall-Olkin bivariate Weibull distribution
- A copula-based approach to account for dependence in stress-strength models
- Test of fit for Marshall-Olkin distributions with applications
- A Distribution-Free Upper Confidence Bound for $\Pr \{Y < X\}$, Based on Independent Samples of $X$ and $Y$
- Identifiability of distributions under competing risks and complementary risks model
- A bivariate inverse Weibull distribution and its application in complementary risks model
- A study of stress-strength reliability using a generalization of power transformed half-logistic distribution
- Estimation of stress-strength reliability using discrete phase type distribution
- Bayesian inference onP(X>Y)in bivariate Rayleigh model
- Inference onP(Y < X)in Bivariate Rayleigh Distribution
- Estimation ofR=P[Y<X for three-parameter generalized Rayleigh distribution]
- Estimation ofP(Y < X) for the Three-Parameter Generalized Exponential Distribution
