Two compound Rayleigh lifetime distributions in analyses the jointly type-II censoring samples: DSGT2018
DOI10.1007/s10910-019-01058-5zbMath1439.62212OpenAlexW2969677981WikidataQ127353868 ScholiaQ127353868MaRDI QIDQ2173263
G. A. Abd-Elmougod, Ali Algarni, Z. A. Abo-Eleneen, Abdullah M. Almarashi
Publication date: 22 April 2020
Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10910-019-01058-5
maximum likelihood estimationBayes estimationcompound Rayleigh distributionMCMCjoint censoring scheme
Censored data models (62N01) Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30) Monte Carlo methods (65C05) Reliability and life testing (62N05)
Related Items (2)
Cites Work
- Exact likelihood inference for two exponential populations under joint type-II censoring
- A simulation-based approach to the study of coefficient of variation of Gompertz distribution under progressive first-failure censoring
- Numerical investigation on global dynamics for nonlinear stochastic heat conduction via global random attractors theory
- Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring
- Bayesian prediction bounds for the burr type XII failure model
- The effect of two-temperature on thermoelastic medium with diffusion due to three phase-lag model
- Confidence Intervals with Jointly Type-II Censored Samples from Two Exponential Distributions
- Approximate bayes estimators applied to the burr model
- Equation of State Calculations by Fast Computing Machines
- Bayesian inference based on a jointly type-II censored sample from two exponential populations
This page was built for publication: Two compound Rayleigh lifetime distributions in analyses the jointly type-II censoring samples: DSGT2018
