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

R.J. O'Hara Hines and E. M. Carter

Journal of the Royal Statistical Society Series C, 1993, vol. 42, issue 1, 3-16

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.

Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://doi.org/10.2307/2347405

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:42:y:1993:i:1:p:3-16

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().