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IV Recap and MLE I Flashcards | StudBud
IV Recap and MLE I
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What is one key “downside” of MLE (Maximum Likelihood Estimation)?
A
Asymptotically ML-estimators of a normal distribution are OLS-estimators
B
The ML theory is particularly suited for small samples
C
ML-estimators are inconsistent if the distribution is mis-specified
D
ML-estimator guarantee that the probability to get the sample is maximised
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