Distribution parameter estimates were computed using the expectation-maximization algorithm, a missing information technique. Results of the one-sample chi-square goodness-of-fit test showed a fairly ...

The ML solutions are obtained via the expectation–maximization algorithm. Application and efficiencies of the method are demonstrated and tested using a set of simulated data.

If access to general maximum-likelihood software is not available, the multinomial-logit based Expectation-Maximization algorithm can be used in isolation. The endogenous segmentation model, and other ...