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Full Description
The author explains the theoretical underpinnings of generalized linear models so that researchers can decide how to select the best way to adapt their data for this type of analysis. Examples are provided to illustrate the application of GLM to actual data and the author includes his web address where additional resources can be found.
Contents
IntroductionThe Exponential FamilyLikelihood Theory and the MomentsLinear Structure and the Link FunctionEstimation ProceduresResiduals and Model FitConclusion