The main purpose of this work is the derivation of relations for calculation of " power function for tests of null hypotheses on mutual relation of linear regression functions". The normality of error disturbances of processed data is the condition for power function validity. Presented regression model can be widely applied for sophisticated data… (More)
If a nonlinear regression model is linearized in a non-sufficient small neighbourhood of the actual parameter, then all statistical inferences may be deteriorated. Some criteria how to recognize this are already developed. The aim of the paper is to demonstrate the behaviour of the program for utilization of these criteria.