IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v50y2000i3p257-263.html
   My bibliography  Save this article

ANOCOVA models with measurement errors

Author

Listed:
  • Bolfarine, Heleno
  • de Castro, Mário

Abstract

This paper deals with analysis of covariance (ANOCOVA) models in a completely randomized design where the explanatory variables are measured with error. The structural models considered encompasses both multiplicative and additive errors in the explanatory variables. Two consistent estimators of the treatment effects are compared in terms of asymptotic relative efficiency. It is shown that the naive estimator which ignores measurement errors is the one that presents the best behavior. A simulation study compares the relative merits of the estimators in finite samples.

Suggested Citation

  • Bolfarine, Heleno & de Castro, Mário, 2000. "ANOCOVA models with measurement errors," Statistics & Probability Letters, Elsevier, vol. 50(3), pages 257-263, November.
    • Handle: RePEc:eee:stapro:v:50:y:2000:i:3:p:257-263
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(00)00100-0
    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.

    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:stapro:v:50:y:2000:i:3:p:257-263. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.