Distribution Models: Parameter Estimation

The following explanations focus on the estimation of parametersEstimation of parameters with regard to the fitting of a distribution model to a series of measured values. The robust and manually simple procedure of regression analysis, which is suitable for many distribution models, is shown in Sect. 8.1. A frequently used iterative procedure is the maximum likelihood estimator (MLE) according to Fisher (1912) shown in Sect. 8.2. In addition, further estimation methods with reference to distribution models, which are used in the technical reliability analysis, are outlined in Sect. 8.3.