Please explain in details, and I don't want answers copied from other WEBSITES ANSWERS. Thanks!

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Observations X1, X2, ..., An are drawn from normal populations with the same mean / but with different variances o, 62 , ..., of. Is it possible to estimate all the parameters? If we assume that the o, are known, what is the maximum- likelihood estimator of u?Let X be a single observation from the Bernoulli density f(x; 0) = 0*(1 - 0)' -*Ito, 1(x), where 0