Uncertainty quantification for monotone stochastic degradation models
10.1080/00224065.2018.1436839
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sg-nus-scholar.10635-1420212024-04-05T02:07:17Z Uncertainty quantification for monotone stochastic degradation models Piao Chen Zhi-sheng Ye INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT 10.1080/00224065.2018.1436839 Journal of Quality Technology 50 2 207-219 2018-05-16T04:48:50Z 2018-05-16T04:48:50Z 2018-04-09 Article Piao Chen, Zhi-sheng Ye (2018-04-09). Uncertainty quantification for monotone stochastic degradation models. Journal of Quality Technology 50 (2) : 207-219. ScholarBank@NUS Repository. https://doi.org/10.1080/00224065.2018.1436839 00224065 http://scholarbank.nus.edu.sg/handle/10635/142021 000436442900007 Taylor & Francis Taylor & Francis |
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10.1080/00224065.2018.1436839 |
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INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT |
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INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT Piao Chen Zhi-sheng Ye |
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Article |
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Piao Chen Zhi-sheng Ye |
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Piao Chen Zhi-sheng Ye Uncertainty quantification for monotone stochastic degradation models |
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Piao Chen |
title |
Uncertainty quantification for monotone stochastic degradation models |
title_short |
Uncertainty quantification for monotone stochastic degradation models |
title_full |
Uncertainty quantification for monotone stochastic degradation models |
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Uncertainty quantification for monotone stochastic degradation models |
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Uncertainty quantification for monotone stochastic degradation models |
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uncertainty quantification for monotone stochastic degradation models |
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Taylor & Francis |
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2018 |
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http://scholarbank.nus.edu.sg/handle/10635/142021 |
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