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Q23Section I (Objective (Q1–Q80))23 of 80

Statistical Inference — MLE reducing to the sample geometric mean

Consider a random sample {8,4,12,1}\{8,4,\frac12,1\} from the distribution having most general form of the probability mass function f(x,θ)=(xθ)θA′(θ)exp⁡[A(θ)+C(x)]f(x,\theta)=\left(\frac{x}{\theta}\right)^{\theta A'(\theta)}\exp[A(\theta)+C(x)] where A′(θ)A'(\theta) is the derivative of A(θ)A(\theta) with respect to θ\theta. The maximum likelihood estimator of θ\theta is

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