# Generalized Linear Model Theory - Princeton University

B.2 Maximum **Likelihood Estimation** An important practical feature of **generalized linear** models is that they can all be ﬁt to data using the same algorithm, a form of iteratively re-weighted least squares. In this section we describe the algorithm. Given a trial estimate of the parameters βˆ, we calculate the estimated linear predictor ˆη i ...

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