how maximum likelihood estimator of parameter is determined
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Maximum likelihood estimation is a method that determines values for the parameters of a model. The parameter values are found such that they maximise the likelihood that the process described by the model produced the data that were actually observed. ... Recall that the Gaussian distribution has 2 parameters.
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Maximum likelihood estimation is a method that determines values for the parameters of a model. The parameter values are found such that they maximise the likelihood that the process described by the model produced the data that were actually observed. ... Recall that the Gaussian distribution has 2 parameters.
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