IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v10y2012i4p411-427.html
   My bibliography  Save this article

Performance of control chart using generalised lambda distribution

Author

Listed:
  • Nandini Das

Abstract

Control chart is a well-known device for achieving statistical control in a process. Traditional control chart has been established based on the assumption of normality. In many practical situation assumption of normality is violated. Under these situations, the use of traditional control chart gives erroneous conclusion. For handling non-normal data one approach is use of non-parametric control charts which are not so efficient. Another approach is to use generalised distribution. In this work, we will show how generalised lambda can be used to handle non-normal data.

Suggested Citation

  • Nandini Das, 2012. "Performance of control chart using generalised lambda distribution," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 10(4), pages 411-427.
    • Handle: RePEc:ids:ijpqma:v:10:y:2012:i:4:p:411-427
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=49631
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Azam Moraditadi & Soroush Avakhdarestani, 2016. "Development of fuzzy individual x and moving range control chart," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 17(1), pages 82-103.

    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:ids:ijpqma:v:10:y:2012:i:4:p:411-427. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    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.