TRIGONOMETRIC TREND APPLICATION FOR SIMULATION PERIODIC PROCESSES IN RESEARCH ACTIVITIES
In this paper we illustrate stages of the research activities in the preparation periodic process trigonometric trend that simulates the technical system oscillate operation. We use empirical data autocorrelation analysis results and testing apparatus statistical hypothesis for constructing a mathematical model. The characteristic features of functional dependencies for point and interval estimates obtained trend revealed through their graphical models. Assessment of the trend equation quality is carried out using the Fischer-Snedokor distribution. We use random number generator for modeling periodical moving. Description of empirical data is limited to the construction of trigonometric trend with one harmonica. Presented systematization of the proposed analytical and synthetic operations aimed at forming abilities to synthesize empirical results based on mathematical statistics.