Statistical inference of Type-I progressively censored step-stress accelerated life test with dependent competing risks-Reference-Cited by-同舟云学术

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Statistical inference of Type-I progressively censored step-stress accelerated life test with dependent competing risks

Published:2020-07-04 Issue: Volume: Page:1-27
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Bai Xuchao¹^ORCID,Shi Yimin²,Ng Hon Keung Tony³

Affiliation:

1. School of Economics and Management, Xidian University, Xi’an, China;

2. School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, China;

3. Department of Statistical Science, Southern Methodist University, Dallas, Texas, USA

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2020.1788081

Reference46 articles.

1. Inferences for Accelerated Life Tests Considering a Bivariate Exponential Distribution

2. Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models

3. Empirical Bayes Estimation of Finite Population Means from Complex Surveys

4. The Art of Progressive Censoring

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1. Bayesian estimation and prediction under progressive-stress accelerated life test for a log-logistic model;Alexandria Engineering Journal;2024-08

2. Inference of Constant-Stress Model of Fréchet Distribution under a Maximum Ranked Set Sampling with Unequal Samples;Axioms;2024-06-12

3. A model for failure-time data with two dependent failure modes and prediction of future failures;Quality Engineering;2024-03-05

4. On competing risk model under step-stress stage life testing;Journal of Statistical Computation and Simulation;2023-10-24

5. Reliability analysis of bathtub-shaped distribution using empirical Bayesian and E-Bayesian estimations under progressive Type-II censoring;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2023-03-20

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