Testing Lack-of-Fit of Generalized Linear Models via Laplace Approximation
In this study we develop a new method for testing the null hypothesis that the predictor function in a canonical link regression model has a prescribed linear form. The class of models, which we will refer to as canonical link regression models, constitutes arguably the most important subclass of ge...
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| Format: | Others |
| Language: | en_US |
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2012
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| Online Access: | http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9173 |