| 1. | Censored regression models are usually estimated using maximum likelihood estimation.
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| 2. | Maximum likelihood estimation can be used for solving this problem.
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| 3. | Matrix exponential distributions can be fitted using maximum likelihood estimation.
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| 4. | Some of the theory behind maximum likelihood estimation was developed for Bayesian statistics.
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| 5. | Other possible approaches to estimation include maximum likelihood estimation.
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| 6. | Parameters can be estimated via maximum likelihood estimation or the method of moments.
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| 7. | Maximum likelihood estimation is estimation in problems involving parametrized families of proability distributions.
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| 8. | In general, maximum likelihood estimation requires that a likelihood function be defined.
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| 9. | Popular examples of fitness functions based on the probabilities include maximum likelihood estimation and hinge loss.
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| 10. | Generalized linear models were formulated by John Nelder and method for maximum likelihood estimation of the model parameters.
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