Determining a Piecewise Linear Trend of a Nonstationary Time Series Based on Intelligent Data Analysis. II. Machine Experiments and Solution of the Practical Problem
摘要
The article describes the results of the approbation of the method of constructing a piecewise linear trend, which can have breaks at the switching points as well as be continuous at these points, i.e., represent a linear spline. An example of applying the method for constructing a linear switching regression, which has two independent variables with a trend, is considered. The problems of spline approximation of the time series of logarithms of the number of people infected with COVID-19 in Ukraine are solved.