IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v39y2002i2p227-241.html
   My bibliography  Save this article

Regression analysis of experiments with complex confounding patterns guided by the alias matrix

Author

Listed:
  • Lawson, John

Abstract

No abstract is available for this item.

Suggested Citation

  • Lawson, John, 2002. "Regression analysis of experiments with complex confounding patterns guided by the alias matrix," Computational Statistics & Data Analysis, Elsevier, vol. 39(2), pages 227-241, April.
    • Handle: RePEc:eee:csdana:v:39:y:2002:i:2:p:227-241
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(01)00056-1
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    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. Lin, Dennis K. J. & Draper, Norman R., 1993. "Generating alias relationships for two-level Plackett and Burman designs," Computational Statistics & Data Analysis, Elsevier, vol. 15(2), pages 147-157, February.
    2. Lawson, John & Grimshaw, Scott & Burt, Jason, 1998. "A quantitative method for identifying active contrasts in unreplicated factorial designs based on the half-normal plot," Computational Statistics & Data Analysis, Elsevier, vol. 26(4), pages 425-436, February.
    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. Hermann Dülmer, 2016. "The Factorial Survey," Sociological Methods & Research, , vol. 45(2), pages 304-347, May.

    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. SCHOEN, Eric D. & VO-THANH, Nha & GOOS, Peter, 2015. "Two-level orthogonal designs in 24 and 28 runs," Working Papers 2015016, University of Antwerp, Faculty of Business and Economics.
    2. SCHOEN, Eric D. & MEE, Robert W., 2012. "Two-level designs of strength 3 and up to 48 runs," Working Papers 2012005, University of Antwerp, Faculty of Business and Economics.
    3. repec:jss:jstsof:25:i13 is not listed on IDEAS
    4. Chen, Ying & Chan, Chi Kin & Leung, Bartholomew P.K., 2010. "An analysis of three-level orthogonal saturated designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1952-1961, August.
    5. Mohammed A. Alomair & Stelios D. Georgiou & Manohar Aggarwal, 2020. "Projection properties of three‐level screening designs," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(4), pages 407-425, December.
    6. Kolaiti, E. & Koukouvinos, C., 2006. "On the use of three level orthogonal arrays in robust parameter design," Statistics & Probability Letters, Elsevier, vol. 76(3), pages 266-273, February.
    7. Eric D. Schoen & Nha Vo-Thanh & Peter Goos, 2017. "Two-Level Orthogonal Screening Designs With 24, 28, 32, and 36 Runs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1354-1369, July.

    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:eee:csdana:v:39:y:2002:i:2:p:227-241. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.