Advances and Applications in Statistics
Volume 44, Issue 2, Pages 163 - 176
(February 2015) http://dx.doi.org/10.17654/ADASFeb2015_163_176 |
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DIAGNOSTICS IN LOG-LINEAR MODELS
Sibnarayan Guria and Sugata Sen Roy
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Abstract: In this paper, we study the diagnostics of a generalized linear model. The model is fitted using the maximum likelihood method and the deletion of observation technique is used to identify outliers. Expressions for the change in the estimates of the parameters after re-fitting are obtained. A count data model is cited as an illustration. |
Keywords and phrases: generalized linear model, maximum likelihood estimator, deletion technique. |
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