Introduction - If you have any usage issues, please Google them yourself
Maximum likelihood method (Maximum Likelihood, ML), also known as maximum likelihood estimation , is a kind of theoretical point estimation method, the basic idea of this method is: when random the overall model after the group n sample observations, the most reasonable parameter estimator should be such that the probability of drawing the sample set of n observations of the maximum the model, rather than least squares estimation method is designed to obtain such model that best fits the sample data parameter estimator.