Determining a Piecewise Linear Trend of a Nonstationary Time Series Based on Intelligent Data Analysis. II. Machine Experiments and Solution of the Practical Problem

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...

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Bibliographic Details
Published inCybernetics and systems analysis Vol. 60; no. 2; pp. 220 - 233
Main Authors Knopov, P. S., Korkhin, A. S.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2024
Springer
Springer Nature B.V
Subjects
Artificial Intelligence
Control
COVID-19
Data analysis
Epidemiology
Independent variables
Mathematics
Mathematics and Statistics
Processor Architectures
Software Engineering/Programming and Operating Systems
Splines
Switching
Systems Theory
Time series
Ukraine
spline
trend
switching point
regression
real-time calculation
Online AccessGet full text
ISSN1060-0396
1573-8337
DOI10.1007/s10559-024-00663-w

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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-024-00663-w