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Statistical Analysis of Time-to-Breakdown Data

In: Fiber Bundles

Author

Listed:
  • James U. Gleaton

  • David Han

    (University of Texas at San Antonio, Management of Science and Statistics)

  • James D. Lynch

    (University of South Carolina, Department of Statistics)

  • Hon Keung Tony Ng

    (Bentley University, Department of Mathematical Sciences)

  • Fabrizio Ruggeri

    (Consiglio Nazionale delle Ricerche, Istituto di Matematica Applicata e Tecnologie Informatiche)

Abstract

In this chapter, we consider the data from Figures 3, 6, and 14 in Kim and Lee (2004) as well as their Weibull analyses of these figures and analysis of their Figure 14. We use this data to see the role that the Weibull plays in their analysis, the physical interpretation of the Weibull shape and scale, and the BD formalism. In addition, other distributions are used to compare with the Weibull and to study the legitimacy of some of the BD formalism assumptions.

Suggested Citation

  • James U. Gleaton & David Han & James D. Lynch & Hon Keung Tony Ng & Fabrizio Ruggeri, 2022. "Statistical Analysis of Time-to-Breakdown Data," Springer Books, in: Fiber Bundles, chapter 0, pages 91-102, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-14797-5_8
    DOI: 10.1007/978-3-031-14797-5_8
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