is it possible to estimate all parameters of an n-observation (X(adsbygoogle = window.adsbygoogle || []).push({}); _{1},...X_{n}) with same mean, μ, but different variances (σ^{2}_{1},σ^{2}_{2},...,σ^{2}_{n})? if we assume that σ^{2}_{i}are known for all i in {1,...n}, what is the mle of of μ?

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# Maximum likelihood

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