IDEAS home Printed from https://ideas.repec.org/a/spr/stpapr/v56y2015i2p311-331.html
   My bibliography  Save this article

A new class of designs for mixture-of-mixture experiments

Author

Listed:
  • Hanen Hanna
  • Walter Tinsson

Abstract

This paper deals with the implementation of an additive linear model for mixture of mixtures including major and minor components. Experimental designs, derived from designs for qualitative factors, are built for the two classical cases of type A or type B mixtures. With such designs the determination of the least square estimators of the model parameters or the determination of the D-efficiency can be achieved in an easy way. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Hanen Hanna & Walter Tinsson, 2015. "A new class of designs for mixture-of-mixture experiments," Statistical Papers, Springer, vol. 56(2), pages 311-331, May.
    • Handle: RePEc:spr:stpapr:v:56:y:2015:i:2:p:311-331
    DOI: 10.1007/s00362-014-0583-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00362-014-0583-9
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00362-014-0583-9?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. Kim-Hung Li & Tai-Shing Lau & Chongqi Zhang, 2005. "A note on D-optimal designs for models with and without an intercept," Statistical Papers, Springer, vol. 46(3), pages 451-458, July.
    Full references (including those not matched with items on IDEAS)

    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. Dette, Holger & Melas, Viatcheslav B. & Shpilev, Petr, 2021. "A note on optimal designs for estimating the slope of a polynomial regression," Statistics & Probability Letters, Elsevier, vol. 170(C).
    2. Nripes Mandal & Manisha Pal & Bikas Sinha & Premadhis Das, 2015. "Optimum mixture designs in a restricted region," Statistical Papers, Springer, vol. 56(1), pages 105-119, February.
    3. Dette, Holger & Melas, Viatcheslav B. & Shpilev, Petr, 2020. "Optimal designs for estimating individual coefficients in polynomial regression with no intercept," Statistics & Probability Letters, Elsevier, vol. 158(C).
    4. Idais, Osama, 2020. "A note on locally optimal designs for generalized linear models with restricted support," Statistics & Probability Letters, Elsevier, vol. 159(C).

    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:stpapr:v:56:y:2015:i:2:p:311-331. 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.