Improvements to the EM Algorithm

As we all know, when estimating the parameters of an unknown population, the loss of samples due to some factors after sample sampling will have a certain impact on the parameter estimation, especially in the case of small samples. In this case, the EM algorithm is a common method for parameter estimation and missing value estimation, and an improved method is proposed in this paper, which can estimate the parameters more accurately in some skewed population cases and has good stability and fast estimation speed.