IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-13-1736-1_8.html
   My bibliography  Save this book chapter

Multifactor Experimental Designs

In: Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control

Author

Listed:
  • Dharmaraja Selvamuthu

    (Indian Institute of Technology Delhi, Department of Mathematics)

  • Dipayan Das

    (Indian Institute of Technology Delhi, Department of Textile Technology)

Abstract

In order to study the effects of two or more factors on a response variable, factorial designsDesignfactorial are usually used. By following these designs, all possible combinations of the levels of the factors are investigated. The factorial designs are ideal designs for studying the interaction effect between factors. By interactionInteraction effect effect, we mean that a factor behaves differently in the presence of other factors such that its trend of influence changes when the levels of other factors change. This has already been discussed in Chap. 1 . In this chapter, we will learn more about factorial design and analysis of experimental data obtained by following such designs.

Suggested Citation

  • Dharmaraja Selvamuthu & Dipayan Das, 2018. "Multifactor Experimental Designs," Springer Books, in: Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control, chapter 0, pages 265-317, Springer.
  • Handle: RePEc:spr:sprchp:978-981-13-1736-1_8
    DOI: 10.1007/978-981-13-1736-1_8
    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

    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:978-981-13-1736-1_8. 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.