INFLUENCE OF THE ACCURACY OF THE PARAMETERS OF THE MODELS (NORMALIZED AND NATURAL) ON THEIR ADEQUACY TO THE EXPERIMENTAL DATA
The article presents the study results of the influence of the parameters of the normalized and natural models on their adequacy to experimental data. The studies are presented on the basis of the results of processing experimental data of three-factor models, taking into account the interaction of factors. Two variants of the experiment are considered: the first is to conduct experiments at each point of the factor space, the second is to conduct one experiment at each point of the factor space and a series in the center of the design to calculate the reproducibility variance. The processing of the results of the experiment according to the first option was carried out using two methods. Their fundamental difference is in the calculation of the confidence interval of the parameters of the normalized model. The adequacy of the models was assessed by two statistical criteria: Fisher and Student's. Based on the results of the study, recommendations are given on the adoption of the values of the parameters of the models based on the calculated values. The experimental data were processed using software developed at the Department of Technological Informatics and Information Systems.