Statistical techniques are sometimes used to test a model. All data sets are used to develop a model except one, and the excluded set is tested against the model. This method is repeated until all sets have been excluded once and tested against the model built with the remaining data. This method produces a distribution of outcomes constructed from the individual outcomes of each data set and is a method sometimes used to validate a model. Jackknife procedures have been used in PDD algorithm development.