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Diagnostics for nonlinearity in generalized linear models

✍ Scribed by Zongwu Cai; Chih-Ling Tsai


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
387 KB
Volume
29
Category
Article
ISSN
0167-9473

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✦ Synopsis


In this paper, we evaluate the diagnostic usefulness of eight plots for identifying nonlinearity in covariates for generalized linear models, and show that these plots complement each other in detecting nonlinearity. We also present a transformed approach that allows the diagnostic plots to be obtained using the standard least squares method. Using simulated and real examples, we ΓΏnd that the performance of the transformed plots is comparable to that of the untransformed plots.


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