| 11. | Some of the theory behind maximum likelihood estimation was developed for Bayesian statistics.
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| 12. | M-estimators are a generalization of maximum likelihood estimators ( MLEs ).
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| 13. | But then maximum likelihood would seem to be what scientific method aims at.
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| 14. | Maximum likelihood estimators ( MLE ) are thus a special case of M-estimators.
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| 15. | Therefore, the maximum likelihood estimate is an unbiased estimator of ?.
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| 16. | Instead, the maximum likelihood estimates are approximated numerically by the Newton Raphson method.
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| 17. | Parameters can be estimated via maximum likelihood estimation or the method of moments.
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| 18. | Maximum likelihood estimation can be used for solving this problem.
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| 19. | Closed-loop non-data-aided systems are frequently maximum likelihood frequency error detectors.
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| 20. | As in maximum parsimony, maximum likelihood will evaluate alternative trees.
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