Question
1. Transforming vs. Linking: Consider two GLMs both assuming normality: one with a log- transformed dependent variable Y and the other with a log link.
1. Transforming vs. Linking: Consider two GLMs both assuming normality: one with a log-
transformed dependent variable Y and the other with a log link. State the three GLM
components (random, systematic, linking function) of these two models. Explain what the
regression model parameters describe in the two models.
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Shape Optimization And Optimal Design
Authors: John Cagnol
1st Edition
0824705564, 978-0824705565
