IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4612-1344-4_5.html
   My bibliography  Save this book chapter

Three-Way and Higher-Order Crossed Classifications

In: The Analysis of Variance

Author

Listed:
  • Hardeo Sahai

    (University of Puerto Rico
    University of Veracruz)

  • Mohammed I. Ageel

    (King Saud University, Abha Campus)

Abstract

Many experiments and surveys involve three or more factors. Multifactor layouts entail data collection under conditions determined by several factors simultaneously. Such layouts usually provide more information and often can be even more economical than separate one-way or two-way designs. The models and analysis of variance for the case of three or more factors are straightforward extensions of the two-way crossed model. The methods of analysis of variance for the two-way crossed classification discussed in the preceding two chapters can thus be readily generalized to three-way and higher-order classifications. In this chapter, we study the three-way crossed classification in some detail because it serves as an illustration as to how the analysis can be extended when four or more factors are involved. Generalizations to four-way and higher-order classifications are briefly outlined.

Suggested Citation

  • Hardeo Sahai & Mohammed I. Ageel, 2000. "Three-Way and Higher-Order Crossed Classifications," Springer Books, in: The Analysis of Variance, chapter 5, pages 281-345, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-1344-4_5
    DOI: 10.1007/978-1-4612-1344-4_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:978-1-4612-1344-4_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.