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Interval censored sampling plans for the log-logistic lifetime distribution

Author

Listed:
  • Wanbo Lu
  • Tzong-Ru Tsai

Abstract

The log-logistic distribution is one of the popular distributions in life-testing applications. This article develops an acceptance sampling procedure for the log-logistic lifetime distribution based on grouped data when the shape parameter is given. Both producer and consumer risks are considered to develop the ordinary, approximate and simulated sampling plans. Some of the proposed sampling plans are tabulated; moreover, those three types of sampling plans are compared with each other under the same censoring rates. The use of these tables is illustrated by an example.

Suggested Citation

  • Wanbo Lu & Tzong-Ru Tsai, 2009. "Interval censored sampling plans for the log-logistic lifetime distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(5), pages 521-536.
    • Handle: RePEc:taf:japsta:v:36:y:2009:i:5:p:521-536
    DOI: 10.1080/02664760802554180
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    References listed on IDEAS

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    1. Zhenmin Chen & Jie Mi, 2001. "An approximate confidence interval for the scale parameter of the gamma distribution based on grouped data," Statistical Papers, Springer, vol. 42(3), pages 285-299, July.
    2. Tzong-Ru Tsai & Shuo-Jye Wu, 2006. "Acceptance sampling based on truncated life tests for generalized Rayleigh distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(6), pages 595-600.
    3. R. Kantam & A. Roa & G. Roa, 2005. "Optimum group limits for estimation in scaled log-logistic distribution from a grouped data," Statistical Papers, Springer, vol. 46(3), pages 359-377, July.
    4. R. R. L. Kantam & K. Rosaiah & G. Srinivasa Rao, 2001. "Acceptance sampling based on life tests: Log-logistic model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(1), pages 121-128.
    5. R. R. L. Kantam & G. Srinivasa Rao & B. Sriram, 2006. "An economic reliability test plan: Log-logistic distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(3), pages 291-296.
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    Citations

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    Cited by:

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    2. Pérez-González, Carlos J. & Fernández, Arturo J. & Kohansal, Akram, 2020. "Efficient truncated repetitive lot inspection using Poisson defect counts and prior information," European Journal of Operational Research, Elsevier, vol. 287(3), pages 964-974.
    3. Lee‐Shen Chen & Ming‐Chung Yang & TaChen Liang, 2015. "Bayesian sampling plans for exponential distributions with interval censored samples," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(7), pages 604-616, October.
    4. Xun Xiao & Amitava Mukherjee & Min Xie, 2016. "Estimation procedures for grouped data – a comparative study," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(11), pages 2110-2130, August.

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