IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v42y1993i1p3-16.html
   My bibliography  Save this article

Improved Added Variable and Partial Residual Plots for the Detection of Influential Observations in Generalized Linear Models

Author

Listed:
  • R.J. O'Hara Hines
  • E. M. Carter

Abstract

The added variable plots proposed by Pregibon and Wang and the partial residual plots proposed by Pregibon and Landwehr and co‐workers for generalized linear models have been found useful for examining the relationship between the dependent variable and an independent variable; however, they can give misleading impressions about influential observations. Alternative procedures in which the plots are based on the full rather than the reduced model, or on weighted rather than unweighted variables, prove to be more informative about such observations, giving information which is consistent with Pregibon's influence diagnostics in generalized linear models.

Suggested Citation

  • R.J. O'Hara Hines & E. M. Carter, 1993. "Improved Added Variable and Partial Residual Plots for the Detection of Influential Observations in Generalized Linear Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 42(1), pages 3-16, March.
    • Handle: RePEc:bla:jorssc:v:42:y:1993:i:1:p:3-16
    DOI: 10.2307/2347405
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347405
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2347405?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
    ---><---

    Citations

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


    Cited by:

    1. Atkinson, A. C. & Koopman, S. J. & Shephard, N., 1997. "Detecting shocks: Outliers and breaks in time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 387-422, October.
    2. Cai, Zongwu & Tsai, Chih-Ling, 1999. "Diagnostics for nonlinearity in generalized linear models," Computational Statistics & Data Analysis, Elsevier, vol. 29(4), pages 445-469, February.
    3. Guan-Hua Huang, 2005. "Selecting the number of classes under latent class regression: a factor analytic analogue," Psychometrika, Springer;The Psychometric Society, vol. 70(2), pages 325-345, June.

    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:bla:jorssc:v:42:y:1993:i:1:p:3-16. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.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.