IDEAS home Printed from https://ideas.repec.org/a/spt/stecon/v3y2014i4f3_4_2.html
   My bibliography  Save this article

Challenge the Approach of Collaboration of Statistical Methods in Selecting the Correct Multiple Linear Regressions with Violation of some Assumptions

Author

Listed:
  • Ali Hussein Al-Marshadi
  • Abdullah H. Al-Harbey

Abstract

The analysis of multiple linear regressions (MLR) is investigated in the current study. MLR is applied frequently in different field of applied studies. In the current study simulation technique is used to evaluate the approach of "The Approach of Collaboration of Statistical Methods in Selecting the Correct Regressions (ACSMSCR)" by AL-Marshadi, (2014) with its two options in terms of its ability to identify the right regression model under some model assumptions violations with two different sample sizes. The evaluation is in terms of the percentage of number of times of success in identifying the right model. The simulation results indicate that the approach of (ACSMSCR) provided very good choice to select the right model even under the considered model assumptions violations where the second option provided the best performance for both the sample sizes. The main result of the current study is that we suggest using the approach of (ACSMSCR) with the second option as a reliable procedure to select the right model even under the considered model assumptions violations.

Suggested Citation

  • Ali Hussein Al-Marshadi & Abdullah H. Al-Harbey, 2014. "Challenge the Approach of Collaboration of Statistical Methods in Selecting the Correct Multiple Linear Regressions with Violation of some Assumptions," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 3(4), pages 1-2.
    • Handle: RePEc:spt:stecon:v:3:y:2014:i:4:f:3_4_2
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JSEM%2fVol%203_4_2.pdf
    Download Restriction: no
    ---><---

    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:spt:stecon:v:3:y:2014:i:4:f:3_4_2. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.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.