Question: For n independent observations from a Poisson distribution, show that Fisher scoring gives (t + 1) = y for all t > 0. By

For n independent observations from a Poisson distribution, show that Fisher scoring gives µ(t + 1) = y̅ for all t > 0. By contrast, what happens with Newton—Raphson?

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