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Econometrica, 1947
An estimate of y obtained by applying the method of maximum likelihood under the assumption that ut is normally distributed is consistent and asymptotically normally distributed. The asymptotic standard deviation is given in this note. Although Kendall considers many estimates of the period in his publication, he does not use the maximum-likelihood ...
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Overview of Maximum Likelihood Estimation

2001
In ordinary least squares multiple regression, the objective in fitting a model is to find the values of the unknown parameters that minimize the sum of squared errors of prediction. When the response variable is non-normal, polytomous, or not observed completely, one needs a more general objective function to optimize.
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A Note on Maximum Likelihood Estimation

The American Statistician, 1999
Abstract An experimenter collects two independent samples of binary (zero-one) random variables: In the first sample, the probability of success is p; in the second sample, the probability of success is q < p. The question then arises over whether he should use both samples to estimate p.
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Maximum Likelihood Estimation