they are biased
they have high variance
they are not consistent estimators
none of the above
Answer is Wrong!
Answer is Right!
The correct answer is: B. they have high variance.
Maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. It is based on the principle of maximizing the likelihood function, which is a function of the parameters and the data.
MLE estimates are often desirable because they are unbiased and efficient. However,
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