A maximum likelihood estimator (MLE) is a statistical method used to estimate the parameters of a probability distribution by maximizing the likelihood function, which measures how well the chosen model explains the observed data. The MLE connects closely with various important statistical properties, including unbiasedness, consistency, sufficiency, and efficiency, making it a fundamental concept in statistical inference.
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