value as the most likely value of the parameter, which maximizes the credibility of getting span style="font-style: italic;">X = (X1, …, Xn). sample having n experiences. This value of parameter depends on the sample.Maximum likelihood method is a method for estimating an unknown parameter. It takes the value as the most likely value of the parameter, which maximizes the credibility of getting span style="font-style: italic;">X = (X1, …, Xn). sample having n experiences. This value of parameter depends on the sample.
With fixed value, the likelihood function is calculated as follows:
Log-likelihood function is calculated by the following formula:
See also: