Maximum likelihood estimation (MLE) underpins a wide array of regression models by selecting parameter values that maximise the probability of observed data under assumed distributions. In classical ...
Identify characteristics of “good” estimators and be able to compare competing estimators. Construct sound estimators using the techniques of maximum likelihood and method of moments estimation.
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