Maximum Likelihood Estimation (MLE) is a statistical method used to estimate the parameters of a probability distribution by maximizing the likelihood function. This technique provides a way to find the parameter values that make the observed data most probable, making it a cornerstone of statistical inference. MLE is widely used because it has desirable properties, such as consistency and asymptotic normality, allowing for effective estimation in various applications.
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