Editing Expectation–maximization algorithm (section)

=== Truncated and censored regression ===
The EM algorithm has been implemented in the case where an underlying [[linear regression]] model exists explaining the variation of some quantity, but where the values actually observed are censored or truncated versions of those represented in the model.<ref name=Wolynetz>{{cite journal |title= Maximum likelihood estimation in a linear model from confined and censored normal data |last1= Wolynetz |first1= M.S. |journal= [[Journal of the Royal Statistical Society, Series C]] |year= 1979 |volume= 28 |issue= 2 |pages= 195–206 |doi= 10.2307/2346749|jstor= 2346749 }}</ref> Special cases of this model include censored or truncated observations from one [[normal distribution]].<ref name=Wolynetz/>