[The description of growth course using a generalized logistic growth function]

For a quantitative description of measured growth courses the generalized logistic function will be used which is derived on the basis of the well-known logistic function of VERHULST. Numerical properties of this expression and possibilities for its computerized adjustment to measured courses are discussed. Examples of growth processes and their mathematical description by adjusted generalized logistic functions demonstrate the effectiveness of an ALGOL-program system for nonlinear approximation which is specialized to this function type. Especially the numerical improvement of approximation quality is demonstrated for expressions containing an absolute term in form of an also adjustable parameter.