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The GLM consists of three elements:
: 1. A particular distribution for modeling <math> Y </math> from among those which are members of the exponential family of probability distributions
: 2. A linear predictor <math>\eta = X \beta</math>, and
: 3. A link function <math>g</math> such that <math>E(Y \mid X) = \mu = g^{-1}(\eta)</math>.
=== Probability distribution ===
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