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贝叶斯田口方法 — 贝叶斯稳健参数设计

贝叶斯田口方法将田口玄一的稳健参数设计理念与贝叶斯统计推断相结合。通过将先验工程知识编码为概率分布,并用实验数据更新这些分布,该方法能够识别出同时最小化过程变异性并将均值保持在目标值上的因子设置——即使在仅可行少量试验的情况下。

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来源

  1. Hamada, M., & Wu, C. F. J. (1992). Analysis of designed experiments with complex aliasing. Journal of Quality Technology, 24(3), 130–137. DOI: 10.1080/00224065.1992.11979383
  2. Box, G. E. P., & Jones, S. (1992). Designing products that are robust to the environment. Total Quality Management, 3(3), 265–282. DOI: 10.1080/09544129200000034

如何引用本页

ScholarGate. (2026, June 3). Bayesian Robust Parameter Design (Taguchi Framework). ScholarGate. https://scholargate.app/zh/experimental-design/bayesian-taguchi-method

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ScholarGateBayesian Taguchi method (Bayesian Robust Parameter Design (Taguchi Framework)). 于 2026-06-15 检索自 https://scholargate.app/zh/experimental-design/bayesian-taguchi-method · 数据集: https://doi.org/10.5281/zenodo.20539026