Font (2 3) - + Letter spacing (4 5) - + Word spacing (6 7) - + Line spacing (8 9) - +

15.3 Summary

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1

The simple, intuitive answer is true: if $\hat{\theta}$ is a MLE, then if $\phi=g(\theta)$ for any monotonic transformation $g$ , then $\hat{\phi}=g(\hat{\theta})$ .
2

The same simple result can be applied to confidence intervals based on the deviance, but can NOT be applied to confidence intervals based on the asymptotic distribution of the MLE.