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Parameter Estimation and Applications of the Weibull Distribution for Strength Data of Glass Fiber

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  • Yuxuan Wu
  • Hanyang Xie
  • Jyun-You Chiang
  • Gang Peng
  • Yan Qin

Abstract

Glass fiber is a good substitute for metal materials. However, in the process of manufacturing, it is necessary to carry out sampling inspection on its tensile strength to infer its quality. According to previous literatures, the strength data can be well fitted by the Weibull distribution, while the poor parameter estimation method cannot obtain reliable analysis results. Therefore, a new parameter estimation method is proposed. Based on the simulation results, it is found that the proposed parameter estimation method outperforms the other competitors to obtain reliable estimates of the Weibull parameters. Finally, the proposed parameter estimation method is applied to two real data sets of glass fiber strength for illustration. The results of data analysis show that our proposed parameter estimation method is more suitable for these data sets than other estimation methods.

Suggested Citation

  • Yuxuan Wu & Hanyang Xie & Jyun-You Chiang & Gang Peng & Yan Qin, 2021. "Parameter Estimation and Applications of the Weibull Distribution for Strength Data of Glass Fiber," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, September.
    • Handle: RePEc:hin:jnlmpe:9175170
    DOI: 10.1155/2021/9175170
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    Cited by:

    1. Meintanis, S.G. & Milošević, B. & Jiménez–Gamero, M.D., 2024. "Goodness–of–fit tests based on the min–characteristic function," Computational Statistics & Data Analysis, Elsevier, vol. 197(C).

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