Ononot — Given a sample from a distribution f(x|\theta), the Score fu

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Inferential Statisticshard

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Given a sample from a distribution $f(x|\theta)$ , the Score function is $U(\theta) = \frac{\partial}{\partial \theta} \ln L(\theta|X)$ . If we wish to test $H_0: \theta = \theta_0$ , why is the Score test often preferred in Generalized Linear Models (GLMs) over the Wald test?