The joint maximum-likelihood estimators are functions of the observations selecting a maximizing parameter pair:
(1)
The estimates after observation maximize the same likelihood function with . Maximization may be nonunique, as for an even sample size, or may fail to yield a finite admissible pair, as in the one-observation case below. The definition does not turn a boundary supremum into an attained maximum.

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