Group Acceptance Sampling Plans for Resubmitted Lots UnderType II Generalized Half Logistic Distribution

Authors

  • G. S. Rao Department of Statistics, The University of Dodoma, Dodoma, PO. Box: 259, Tanzania https://orcid.org/0000-0002-3683-5486
  • S. Jilani Department of Statistics, Acharya Nagarjuna University, A. P., India
  • A. V. Rao Department of Statistics, Acharya Nagarjuna University, A. P., India

DOI:

https://doi.org/10.3329/jsr.v12i3.44406

Abstract

In this research article, we build-up a group acceptance sampling plan (GASP) for a resubmitting lot when the lifetime of a product follow the  Type II Generalized half-logistic distribution (GHLD).  The design parameters of the group acceptance sampling plan for the resubmitted are determined by fixing the experiment termination time and the numbers of testers at the stated producer’s and consumer’s risks both satisfy at the same time. We contrast the proposed GASP with the ordinary group sampling plan and the results are demonstrated with a live data set.

 

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Author Biography

G. S. Rao, Department of Statistics, The University of Dodoma, Dodoma, PO. Box: 259, Tanzania



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Published

2020-05-01

How to Cite

Rao, G. S., Jilani, S., & Rao, A. V. (2020). Group Acceptance Sampling Plans for Resubmitted Lots UnderType II Generalized Half Logistic Distribution. Journal of Scientific Research, 12(3), 311–325. https://doi.org/10.3329/jsr.v12i3.44406

Issue

Vol. 12 No. 3 (2020)

Section

Section A: Physical and Mathematical Sciences

License

© Journal of Scientific Research

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Articles published in the "Journal of Scientific Research" are Open Access articles under a Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0). This license permits use, distribution and reproduction in any medium, provided the original work is properly cited and initial publication in this journal. In addition to that, users must provide a link to the license, indicate if changes are made and distribute using the same license as original if the original content has been remixed, transformed or built upon.