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  • 标题:A Two-Stage Group Sampling Plan Based on Truncated Life Tests for Exponentiated Half Logistic Distribution
  • 本地全文:下载
  • 作者:G.S. Rao ; K. Rosaiah ; Ch.R. Naidu
  • 期刊名称:Computational Methods in Science and Technology
  • 印刷版ISSN:1505-0602
  • 出版年度:2020
  • 卷号:26
  • 期号:2
  • 页码:55-64
  • DOI:10.12921/cmst.2020.0000017
  • 语种:English
  • 出版社:Poznan Supercomputing and Networking Center
  • 摘要:When the life time of a product follows exponentiated half logistic distribution we can recommend a two-stage group acceptance sampling plan for truncated life tests. The acceptance of the lot can be done at the first or second stage based on the number of failures in each group. In this paper, we obtained the number of groups essential for each of two stages for the underlying lifetime distribution so as to minimize the average sample number under the constraints of satisfying the producer’s and consumer’s risks simultaneously. Single-stage group sampling plans are also considered as special cases of the stated plan and compared with the proposed plan in terms of the average sample number and the operating characteristics.
  • 关键词:average sample number; consumer’s risk; exponentiated half logistic distribution; operating characteristics; producer’s risk
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