Distribution Fitting 1. Parameters Estimation under Assumption of Agreement between Observation and Model

The methods for parameter estimation under assumption of agreement between observation and model are reviewed. The distribution parameters are obtained for one set of experimental data by using different estimation methods under assumption of Gauss-Laplace theoretical distribution. The results are presented and discussed.