IDEAS home Printed from https://ideas.repec.org/a/ids/eujine/v10y2016i6p760-776.html
   My bibliography  Save this article

Distance-based ANOVA for functional data

Author

Listed:
  • Alexandre Homsi Pedott
  • Flávio Sanson Fogliatto

Abstract

We present a method for functional data analysis of variance. Functional data occur when response variables outcomes are a collection of points rather than single values, being usually represented as a profile or curve. The proposed method is an adaptation of the two-way analysis of variance. We used a Euclidean distance as proximity measure between profiles. The method was applied to a simulated gage study based on real industrial data. Results were compared to those obtained using a method available in the literature; in several situations the later led to wrong conclusions about the gage system while the proposed method performed the analysis correctly. [Received 7 May 2014; Revised 25 May 2016; Accepted 27 May 2016]

Suggested Citation

  • Alexandre Homsi Pedott & Flávio Sanson Fogliatto, 2016. "Distance-based ANOVA for functional data," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(6), pages 760-776.
    • Handle: RePEc:ids:eujine:v:10:y:2016:i:6:p:760-776
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=81018
    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.

    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:eujine:v:10:y:2016:i:6:p:760-776. 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=210 .

    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.