Answer
The method of maximum likelihood estimation, popularized by R. A. Fisher, is a fundamental statistical technique for estimating the parameters of a model that best fit a given dataset. It involves finding the set of parameter values that maximizes the likelihood function, which represents the probability of observing the obtained data under different parameter combinations.