Machine and process research uses various modeling techniques to save material and labor costs and to save time. Modeling is the process of building, researching, and implementing models.
Statistical planning methods are the simplest and easiest way to obtain mathematical models in the form of multivariate regression equations. Experiments and measurements of different sizes, statistical processing of results and construction of mathematical models are required to provide the necessary accuracy and minimize the impact of measurement errors.
If a mathematical model can adequately describe a system or process, such a model can be used to find the optimal solution.
The intervals and mathematical expected solutions, mathematical links and models obtained by the probability approach are defined.