Missing data and maximum likelihood estimation

The proper use of the maximum likelihood principle in the context of missing data is explored. The relationship between the false procedure of treating the predicted values as if they were observable and the E–M procedure suggested by Dempster, Laird, and Rubin (1977) is also discussed.