MLE of Poisson Dist: Find \lambda^2+1

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Homework Statement


Let [itex]X_1,...,X_n[/itex] be a random sample from a poisson distribution with mean [itex]\lambda[/itex]

Find the MLE of [itex]\lambda^2 + 1[/itex]

Homework Equations


The Attempt at a Solution



I found [itex]\hat{\lambda}=\bar{x}[/itex]

Can I just square it and add 1 and solve for lambda hat?

If not I have no idea how I would get the FOC (with respect to [itex]\lambda^2 + 1[/itex])

of the log-likelihood function [itex]\ln{L(\lambda^2+1)}=-n\lambda + \Sigma_{i=1}^n x_i \ln{\lambda} - \ln{\Pi_{i=1}^n x_i!}[/itex]
 
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mrkb80 said:
I found [itex]\hat{\lambda}=\bar{x}[/itex]

Can I just square it and add 1 and solve for lambda hat?
That's my understanding of how MLE works. If α is the value of λ that maximises the likelihood of the observed data, then (α2+1) must be the value of λ2+1 that does the same.