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An Inference Methodology for Life Tests with Full Samples or Type II Right Censoring

In: Computational Probability Applications

Author

Listed:
  • Andrew G. Glen

    (The Colorado College)

  • Bobbie L. Foote

    (USMA)

Abstract

We present a methodology for performing statistical inference procedures during the actual conduct of a life test experiment that can reduce time on test and cost. The method relies on properties of conditional order statistic distributions to convert censored data into iid uniform random variables. A secondary result presents a new test for uniformity based on the convolution of these iid uniform random variables that is higher in power than the benchmark Anderson–Darling test statistic in certain cases.

Suggested Citation

  • Andrew G. Glen & Bobbie L. Foote, 2017. "An Inference Methodology for Life Tests with Full Samples or Type II Right Censoring," International Series in Operations Research & Management Science, in: Andrew G. Glen & Lawrence M. Leemis (ed.), Computational Probability Applications, chapter 6, pages 59-73, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-43317-2_6
    DOI: 10.1007/978-3-319-43317-2_6
    as

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