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Maximum Likelihood Estimation for Poisson Mean with Given Observations

The critical point $\hat \lambda$ satisfies $$n - n_1 = \frac{n_2}{\lambda} + \frac{n_1 \lambda}{e^\lambda - (1 + \lambda)}$$ or equivalently, $$e^\lambda = \frac{n_2 - (n - n_1 - n_2)\lambda - n \...
heropup's user avatar
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1 vote

MLE of $\theta$ from $N(\theta+2, \theta^2)$

Your last derivation can be rearranged into a Quadratic Eunction form (See Quadratic Form, Quadratic Function): $$ \underbrace{-n}_{a} {\theta}^{2} \underbrace{-\sum_{i} \left( {x}_{i} - 2 \right)}_{b}...
Royi's user avatar
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