A doubly accelerated degradation model based on the inverse Gaussian process and its objective Bayesian analysis-Reference-Cited by-同舟云学术

A doubly accelerated degradation model based on the inverse Gaussian process and its objective Bayesian analysis

Published:2020-12-09 Issue:8 Volume:91 Page:1485-1503
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

He Daojiang¹²,Liu Lei³,Cao Mingxiang²

Affiliation:

1. Key Laboratory of Advanced Theory and Application in Statistics and Data Science, East China Normal University, Shanghai, People's Republic of China

2. Department of Statistics, Anhui Normal University, Wuhu, People's Republic of China

3. School of Mathematics and Physics, Anqing Normal University, Wuhu, People's Republic of China

Funder

National Natural Science Foundation of China

Humanities and Social Sciences Foundation of Ministry of Education

Anhui Provincial Natural Science Foundation

Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science (East China Normal University), Ministry of Education

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2020.1858083

Reference27 articles.

1. Reliability Physics and Engineering

2. Estimating degradation by a wiener diffusion process subject to measurement error

3. Optimal design of accelerated degradation tests based on Wiener process models

4. Optimal design of step-stress accelerated degradation tests based on the Wiener degradation process

5. Degradation Data Analysis Using Wiener Processes With Measurement Errors

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