ARES plots for generalized linear models

R. Dennis Cook; Sanford Weisberg

doi:10.1016/0167-9473(92)00075-3

ARES plots for generalized linear models

R. Dennis Cook, Sanford Weisberg

Statistics (Twin Cities)

Research output: Contribution to journal › Article › peer-review

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Abstract

One of the most important problems in regression modeling is the comparison between nested models. Many methods, both graphical and numerical, are available for this particular problem. One method that makes use of a dynamic graphical display for linear models was proposed by Cook and Weisberg [Technometrics 31 (1989) 277-311] and is called an ARES plot, an acronym for 'Adding REgressors Smoothly'. In this paper, a methodology is presented to extend the idea from linear models to generalized linear models.

Original language	English (US)
Pages (from-to)	303-315
Number of pages	13
Journal	Computational Statistics and Data Analysis
Volume	17
Issue number	3
DOIs	https://doi.org/10.1016/0167-9473(92)00075-3
State	Published - 1994

Bibliographical note

Funding Information:
Correspondence to: Dr. S. Sanford, sity of Minnesota, 352 Classroom USA. * Supported by National Science School of Statistics, Department of Applied Statistics, Univer-Office Building, 1994 Buford Ave., St. Paul, MN 55108-6042,

Keywords

Dynamic graphics
Regression

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ER -

ARES plots for generalized linear models

Abstract

Bibliographical note

Keywords

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