The maximum likelihood estimate of a parameter is the value that results in the highest log-likelihood, given the data.

Name: The maximum likelihood estimate of a parameter is the value that results in the highest log-likelihood, given the data.
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The maximum likelihood estimate (MLE) of a parameter is indeed the value that maximizes the log-likelihood function, which is equivalent to maximizing the likelihood function itself, given the observed data.

The Maximum Likelihood Estimate of a Parameter Is the Value