Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data
DOI10.1016/j.cam.2022.114934zbMath1499.62351OpenAlexW4308388732MaRDI QIDQ2104102
Hon Keung Tony Ng, Subhankar Dutta, Suchandan Kayal
Publication date: 9 December 2022
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2022.114934
maximum likelihood estimatescompeting risksorder restrictionBayes estimateshighest posterior density credible intervalunified hybrid censoring
Point estimation (62F10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02)
Cites Work
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- Estimation of reliability in a multicomponent stress-strength model for a general class of inverted exponentiated distributions under progressive censoring
- Analysis of incomplete data in presence of competing risks.
- Inference of progressively censored competing risks data from Kumaraswamy distributions
- Inference from iterative simulation using multiple sequences
- Exact likelihood inference based on type-I and type-II hybrid censored samples from the exponential distribution
- Inference and optimal censoring scheme for progressively type-II censored competing risks model for generalized Rayleigh distribution
- Estimation of the inverted exponentiated Rayleigh distribution based on adaptive type II progressive hybrid censored sample
- Inference for an inverted exponentiated Pareto distribution under progressive censoring
- Test of fit for Marshall-Olkin distributions with applications
- Exact likelihood inference based on an unified hybrid censored sample from the exponential distribution
- Reliability estimation of generalized inverted exponential distribution
- The Analysis of Failure Times in the Presence of Competing Risks
- Estimation and prediction for an inverted exponentiated Rayleigh distribution under hybrid censoring
- Exact likelihood inference for the exponential distribution under generalized Type-I and Type-II hybrid censoring
- Estimation under inverse Weibull distribution based on Balakrishnan’s unified hybrid censored scheme
- Estimation for an inverted exponentiated Rayleigh distribution under type II progressive censoring
- Likelihood estimation for a general class of inverse exponentiated distributions based on complete and progressively censored data
- Estimation and prediction for a unified hybrid-censored Burr Type XII distribution
- Truncated Life Tests in the Exponential Case
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