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Economic Reliability Group Acceptance Sampling Plans Based on the Inverse-Rayleigh and the Log-Logistic Distributions

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Listed:
  • Aslam Muhammad

    (Department of Statistics, Forman Christian College University, Lahore 54000, Pakistan.)

  • Mughal Abdur Razzaque

    (Department of Statistics, Pak Shama College, Doha, Qatar.)

Abstract

Economic reliability group acceptance sampling plans are developed assuming that the lifetime of a submitted product follows the inverse-Rayleigh or log-logistic distribution. For various acceptance numbers, sample size and producer's risks, plans with minimum experimental time are obtained that are smaller than for conventional plans. The results are illustrated by tables and examples.

Suggested Citation

  • Aslam Muhammad & Mughal Abdur Razzaque, 2011. "Economic Reliability Group Acceptance Sampling Plans Based on the Inverse-Rayleigh and the Log-Logistic Distributions," Stochastics and Quality Control, De Gruyter, vol. 26(1), pages 15-22, January.
    • Handle: RePEc:bpj:ecqcon:v:26:y:2011:i:1:p:15-22:n:2
    DOI: 10.1515/eqc.2011.002
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    References listed on IDEAS

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    1. Rosaiah K. & Kantam R. R. L. & Kumar Santosh, 2006. "Reliability Test Plans for Exponentiated Log-Logistic Distribution," Stochastics and Quality Control, De Gruyter, vol. 21(2), pages 279-289, January.
    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. 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.
    Full references (including those not matched with items on IDEAS)

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