The performance assessment on the lifetime performance index of products following Chen lifetime distribution based on the progressive type I interval censored sample
From MaRDI portal
Publication:1689434
DOI10.1016/j.cam.2017.11.022zbMath1392.62350OpenAlexW2771551518MaRDI QIDQ1689434
Publication date: 12 January 2018
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.2017.11.022
maximum likelihood estimatorprocess capability indicesprogressive type I interval censored sampletesting algorithmic procedureChen lifetime distribution
Censored data models (62N01) Applications of statistics in engineering and industry; control charts (62P30) Reliability and life testing (62N05)
Related Items
Inference on a progressive type I interval-censored truncated normal distribution ⋮ Inference of progressively type-II censored competing risks data from Chen distribution with an application
Cites Work
- Unnamed Item
- The art of progressive censoring. Applications to reliability and quality
- Computational testing algorithmic procedure of assessment for lifetime performance index of products with Weibull distribution under progressive type I interval censoring
- A new two-parameter lifetime distribution with bathtub shape or increasing failure rate function
- Likelihood inference for the lifetime performance index under progressive type-II censoring
- Computational testing algorithmic procedure of assessment for lifetime performance index of products with one-parameter exponential distribution under progressive type I interval censoring
- Assessing the lifetime performance index of products with the exponential distribution under progressively type II right censored samples
- The exact hypothesis test for the shape parameter of a new two-parameter distribution with the bathtub shape or increasing failure rate function under progressive censoring with random removals
- PROGRESSIVE INTERVAL CENSORING: SOME MATHEMATICAL RESULTS WITH APPLICATIONS TO INFERENCE