Reliability modeling and evaluation for degradation data with heterogeneous initiation time-Reference-Cited by-同舟云学术

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Reliability modeling and evaluation for degradation data with heterogeneous initiation time

Published:2023-12-13 Issue: Volume: Page:1-18
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Song Kai¹,Tian Xinyu¹²,Xie Xiaoyue³

Affiliation:

1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

2. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China

3. Equipment Management and UAV Engineering College, Air Force Engineering University, Xi’an, China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2023.2291334

Reference50 articles.

1. A gamma wear process;Abdelhameed M.;IEEE Transactions on Reliability,1975

2. The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem;Celeux G.;Computational Statistics Quarterly,1985

3. Condition-based maintenance using the inverse Gaussian degradation model

4. Asymptotic properties of a stochastic EM Algorithm for estimating mixing proportions

5. Diebolt, J., and E. H. S. Ip. 1996. Stochastic EM: Method and application. In Markov Chain Monte Carlo in practice, ed. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter, 259–73. London: Chapman & Hall.

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