I am trying to prove that the unbiased sample variance is a minimum variance estimator. In this problem I have a Normal distribution with unknown mean (and the variance is the parameter to estimate so it is also unknown).
I am trying to solve it through the Cramer Rao bound, however I am not sure how to compute Fisher's information matrix or the covariance matrix for the estimator.
Thank you!