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What is Maximum Likelihood Estimation Explained about?

This document explains maximum likelihood estimation, which is a method for estimating the parameters of a statistical model given data. It involves choosing parameter values that maximize the likelihood of the observed data given the model. The example demonstrates calculating the maximum likelihood estimates for the mean and standard deviation parameters of a Gaussian distribution using three data points. It takes the natural logarithm of the likelihood function to simplify differentiation, finds where th

Author

Petros Piano

Language

EN