  In many cases, the values of some model parameters are determined by
maximising the likelihood of a set of data points given the parameter values.
The presence of outliers in the data and correlations between data points
complicate this procedure. An efficient procedure for the elimination of
outliers is presented which takes the correlations between data points into
account.
