ABSTRACT
Fisher (1922) identified the likelihood function as the key inferential quantity conveying all inferential information in statistical modeling including the uncertainty. In particular, Fisher suggested the method of maximum likelihood to provide a point estimate for the parameters of interest, the so-called maximum likelihood estimate (MLE).
