IDEAS home Printed from https://ideas.repec.org/a/spr/metrik/v66y2007i1p31-37.html
   My bibliography  Save this article

18-run nonisomorphic three level orthogonal arrays

Author

Listed:
  • H. Evangelaras
  • C. Koukouvinos
  • E. Lappas

Abstract

No abstract is available for this item.

Suggested Citation

  • H. Evangelaras & C. Koukouvinos & E. Lappas, 2007. "18-run nonisomorphic three level orthogonal arrays," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 66(1), pages 31-37, July.
  • Handle: RePEc:spr:metrik:v:66:y:2007:i:1:p:31-37
    DOI: 10.1007/s00184-006-0085-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00184-006-0085-4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s00184-006-0085-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. H. Evangelaras & C. Koukouvinos & A. M. Dean & C. A. Dingus, 2005. "Projection properties of certain three level orthogonal arrays," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 62(2), pages 241-257, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lin-Chen Weng & Kai-Tai Fang & A. M. Elsawah, 2023. "Degree of isomorphism: a novel criterion for identifying and classifying orthogonal designs," Statistical Papers, Springer, vol. 64(1), pages 93-116, February.
    2. A. M. Elsawah & Kai-Tai Fang & Xiao Ke, 2021. "New recommended designs for screening either qualitative or quantitative factors," Statistical Papers, Springer, vol. 62(1), pages 267-307, February.
    3. Lai, Jianfa & Weng, Lin-Chen & Peng, Xiaoling & Fang, Kai-Tai, 2022. "Construction of symmetric orthogonal designs with deep Q-network and orthogonal complementary design," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. A. M. Elsawah & Kai-Tai Fang & Xiao Ke, 2021. "New recommended designs for screening either qualitative or quantitative factors," Statistical Papers, Springer, vol. 62(1), pages 267-307, February.
    2. P. Angelopoulos & H. Evangelaras & C. Koukouvinos, 2009. "Model identification using 27 runs three level orthogonal arrays," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(1), pages 33-38.
    3. E. Kolaiti & C. Koukouvinos, 2007. "A Comparison of Three-level Orthogonal Arrays in the Presence of a Possible Correlation in Observations," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(2), pages 167-175.
    4. SCHOEN, Eric D., 2007. "Classification of all orthogonal arrays with run-size 18," Working Papers 2007011, University of Antwerp, Faculty of Business and Economics.
    5. SCHOEN, Eric D. & NGUYEN, Man V.M., 2007. "Enumeration and classification of orthogonal arrays," Working Papers 2007021, University of Antwerp, Faculty of Business and Economics.

    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:metrik:v:66:y:2007:i:1:p:31-37. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.