IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/81668.html
   My bibliography  Save this paper

Exploratory Analysis of Marketing Data: Trees vs. Regression

Author

Listed:
  • Armstrong, J. Scott
  • Andress, James G.

Abstract

This article compares the predictive ability of models developed by two different statistical methods, tree analysis and regression analysis. Each was used in an exploratory study to develop a model to make predictions for a specific marketing situation.

Suggested Citation

  • Armstrong, J. Scott & Andress, James G., 1970. "Exploratory Analysis of Marketing Data: Trees vs. Regression," MPRA Paper 81668, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:81668
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/81668/1/MPRA_paper_81668.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    2. Van Den Biesen, J.J.H. & Van Den Meijdenberg, C.J.N., 1980. "An analysis of available absolute total cross section data for noble gas systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 100(3), pages 632-640.
    3. David Montgomery & JS Armstrong, 2005. "Brand Trial After a Credibility Change," General Economics and Teaching 0502047, University Library of Munich, Germany.
    4. J. S. Armstrong & R. Brodie & S. McIntyre, 2005. "Forecasting Methods for Marketing:* Review of Empirical Research," General Economics and Teaching 0502023, University Library of Munich, Germany.
    5. Bredewout, J.W. & van den Meijdenberg, C.J.N. & Beenakker, J.J.M., 1976. "Glory undulations in the total cross section for scattering of heavy rare gas atoms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 85(1), pages 28-50.

    More about this item

    Keywords

    Marketing; statistical methods; tree analysis; regression analysis;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other

    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:pra:mprapa:81668. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.