Likelihood‐based inference for a frailty‐copula model based on competing risks failure time data-Reference-Cited by-同舟云学术

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Likelihood‐based inference for a frailty‐copula model based on competing risks failure time data

Published:2020-05-11 Issue:5 Volume:36 Page:1622-1638
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual Reliab Engng Int

Author:

Wang Yin‐Chen¹^ORCID,Emura Takeshi²^ORCID,Fan Tsai‐Hung¹,Lo Simon M.S.³,Wilke Ralf Andreas⁴^ORCID

Affiliation:

1. Graduate Institute of StatisticsNational Central University Taoyuan City Taiwan

2. Department of Information ManagementChang Gung University Taoyuan City Taiwan

3. Department of EconomicsCity University Kowloon Hong Kong

4. Department of EconomicsCopenhagen Business School Copenhagen Denmark

Funder

Ministry of Science and Technology, Taiwan

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2650

Reference50 articles.

1. ESTIMATION OF PARAMETERS OF MIXED EXPONENTIALLY DISTRIBUTED FAILURE TIME DISTRIBUTIONS FROM CENSORED LIFE TEST DATA

2. Maintenance Model of Digital Avionics

3. Multivariate Survival Analysis and Competing Risks

4. Life Tests Under Dependent Competing Causes of Failure

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1. On the application of inverted Dirichlet distribution for reliability inference of completely censored components with dependence structure;Computers & Industrial Engineering;2024-10

2. A new bivariate survival model with a cured fraction: a mixed Poisson frailty–copula approach;Japanese Journal of Statistics and Data Science;2024-02-10

3. An analysis of one-shot devices with multiple components;Developments in Reliability Engineering;2024

4. Estimation of Dependent Competing Risks Model with Baseline Proportional Hazards Models under Minimum Ranked Set Sampling;Mathematics;2023-03-17

5. Reliability Estimation for Dependent Left-Truncated and Right-Censored Competing Risks Data with Illustrations;Energies;2022-12-21

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