The log-likelihood function is a mathematical tool used in statistics to estimate the parameters of a statistical model. It transforms the likelihood function, which measures how well a model explains observed data, into a logarithmic scale for easier computation and optimization. This function is particularly important in maximum likelihood estimation, as it simplifies calculations and helps find the parameter values that maximize the likelihood of observing the given data.
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