IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-81-322-2325-2_5.html
   My bibliography  Save this book chapter

Sigma Estimation

In: Six Sigma for Organizational Excellence

Author

Listed:
  • K. Muralidharan

    (M. S. University of Baroda, Department of Statistics, Faculty of Science)

Abstract

In the previous chapter, we have seen the importance of a process and variation associated with a process. The necessity of estimating standard deviation is always an important aspect in statistical study including variation estimation, sample size determination; control charts preparations, and sigma-level estimations. The importance of sigma estimation is the central part of Six Sigma study where process improvements are usually talked in terms of sigma level and its estimation. Various methods such as sample range and sample standard deviations have been used to estimate standard deviation. The obvious limitation of all these methods is their natural sensitivity regarding normality assumption of sample observations. In this chapter, we provide some robust estimates which are computationally simple and can be implemented as per the requirement in practical problems.

Suggested Citation

  • K. Muralidharan, 2015. "Sigma Estimation," Springer Books, in: Six Sigma for Organizational Excellence, edition 127, chapter 0, pages 67-80, Springer.
    • Handle: RePEc:spr:sprchp:978-81-322-2325-2_5
    DOI: 10.1007/978-81-322-2325-2_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:sprchp:978-81-322-2325-2_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.