IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v35y2008i2p149-160.html
   My bibliography  Save this article

A procedure for selection of a gamma-Poisson single sampling plan by attributes

Author

Listed:
  • R. Vijayaraghavan
  • K. Rajagopal
  • A. Loganathan

Abstract

Design and evaluation of sampling plans by attributes and by variables are important aspects in the area of acceptance sampling research. Various procedures for the selection of conventional single sampling by attributes have been developed and are available in the literature. This paper presents a design methodology and tables for the selection of parameters of single sampling plans for specified requirements (strengths) under the conditions of a gamma prior and Poisson sampling distribution. The relative efficiency of gamma-Poisson single sampling plans over conventional plans is discussed through empirical illustrations.

Suggested Citation

  • R. Vijayaraghavan & K. Rajagopal & A. Loganathan, 2008. "A procedure for selection of a gamma-Poisson single sampling plan by attributes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(2), pages 149-160.
  • Handle: RePEc:taf:japsta:v:35:y:2008:i:2:p:149-160
    DOI: 10.1080/02664760701775654
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/02664760701775654
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02664760701775654?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vijayaraghavan R. & Sakthivel K. M., 2010. "Selection of Bayesian Double Sampling Inspection Plans by Attributes with Small Acceptance Numbers," Stochastics and Quality Control, De Gruyter, vol. 25(2), pages 207-220, January.
    2. Li Zhang & Ying-Ying Zhang, 2022. "The Bayesian Posterior and Marginal Densities of the Hierarchical Gamma–Gamma, Gamma–Inverse Gamma, Inverse Gamma–Gamma, and Inverse Gamma–Inverse Gamma Models with Conjugate Priors," Mathematics, MDPI, vol. 10(21), pages 1-27, October.
    3. 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.
    4. Vijayaraghavan Rajarathinam & Loganathan Appaia & Rajagopal Krishnamoorthy, 2013. "Selection of Bayesian Single Sampling Plans by Attributes with Desired Discrimination," Stochastics and Quality Control, De Gruyter, vol. 28(2), pages 1-11, December.
    5. Loganathan A. & Vijayaraghavan R. & Rajagopal K., 2010. "Designing Single Sampling Plans by Variables Using Predictive Distribution," Stochastics and Quality Control, De Gruyter, vol. 25(2), pages 301-316, January.
    6. Vijayaraghavan R. & Sakthivel K. M., 2011. "Chain Sampling Inspection Plans Based on Bayesian Methodology," Stochastics and Quality Control, De Gruyter, vol. 26(2), pages 173-187, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:japsta:v:35:y:2008:i:2:p:149-160. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.