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Technometrics Volume 65, 2023 - Issue 3
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Research Articles

A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics

Qingqing Zhaia School of Management, Shanghai University, Shanghai, ChinaORCID Iconhttps://orcid.org/0000-0001-6549-6906View further author information
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Zhi-Sheng Yeb Department of Industrial Systems Engineering & Management, National University of Singapore, Singapore, SingaporeCorrespondence[email protected]
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Pages 315-327 | Received 20 Sep 2021, Accepted 26 Nov 2022, Published online: 03 Jan 2023

Citations (4)

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Read on this site (1)

Guanqi Fang & Rong Pan. (2023) A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data. Technometrics 0:0, pages 1-16.
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Articles from other publishers (3)

Zhang Fode, Hon Keung Tony Ng & Lijuan Shen. (2024) Robust Estimation and Selection for Degradation Modeling With Inhomogeneous Increments. IEEE Transactions on Reliability 73:1, pages 560-575.
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Qingqing Zhai, Ancha Xu, Jun Yang & Yijing Zhou. (2024) Statistical Modeling and Reliability Analysis for Degradation Processes Indexed by Two Scales. IEEE Transactions on Industrial Informatics 20:3, pages 3675-3684.
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Jihong Pang, Chaohui Zhang, Xinze Lian & Yichao Wu. (2023) Reliability assessment of permanent magnet brake based on accelerated bivariate Wiener degradation process. Mathematical Biosciences and Engineering 20:7, pages 12320-12340.
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