Statistical uncertainty analyses.

The article presents an analyses of statistical uncertainty calculations to assess emission data's qualities and to filter out errors. This method provides the possibility of finding out weak points of the used emission model, as well as of determining future model improvements. Among the methods studied are the Monte Carlo method and the use of the principle of error propagation.