Generalized linear model: Difference between revisions

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====Unordered response====
If the response variable is a [[Level of measurement#Nominal scalelevel|nominal measurement]], or the data do not satisfy the assumptions of an ordered model, one may fit a model of the following form:
 
:<math> g(\mu_m) = \eta_m = \beta_{m,0} + X_1 \beta_{m,1} + \cdots + X_p \beta_{m,p} \text{ where } \mu_m = \mathrm{P}(Y = m \mid Y \in \{1,m\} ). \,</math>