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Chain sampling plan for variables inspection

Author

Listed:
  • K. Govindaraju
  • S. Balamurali

Abstract

This paper extends the concept of chain sampling to variables inspection when the standard deviation of the normally distributed characteristic is known. A discussion of the shape of the known sigma single-sampling variables plan is given. The chain sampling plan for variables inspection will be useful when testing is costly or destructive.

Suggested Citation

  • K. Govindaraju & S. Balamurali, 1998. "Chain sampling plan for variables inspection," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(1), pages 103-109.
    • Handle: RePEc:taf:japsta:v:25:y:1998:i:1:p:103-109
    DOI: 10.1080/02664769823331
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    Cited by:

    1. Chien-Wei Wu & Zih-Huei Wang, 2017. "Developing a variables multiple dependent state sampling plan with simultaneous consideration of process yield and quality loss," International Journal of Production Research, Taylor & Francis Journals, vol. 55(8), pages 2351-2364, April.
    2. S. Balamurali & Chi-hyuck Jun, 2006. "Repetitive group sampling procedure for variables inspection," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(3), pages 327-338.
    3. Harsh Tripathi & Mahendra Saha & Sanku Dey, 2022. "A new approach of time truncated chain sampling inspection plan and its applications," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2307-2326, October.

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