Determining a Piecewise Linear Trend of a Nonstationary Time Series Based on Intelligent Data Analysis. I. Description and Substantiation of the Method
From MaRDI portal
Publication:6495174
DOI10.1007/S10559-024-00646-XWikidataQ128317861 ScholiaQ128317861MaRDI QIDQ6495174
Pavel S. Knopov, Arnold S. Korkhin
Publication date: 30 April 2024
Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Constructing a switching regression with unknown switching points
- Parameter estimation accuracy for nonlinear regression with nonlinear constraints
- Continuous record Laplace-based inference about the break date in structural change models
- Continuous-time switching regression method with unknown switching points
- An approximate method of constructing a switching regression with unknown switch points
- Regression and the Moore-Penrose pseudoinverse
- Tests of Equality Between Sets of Coefficients in Two Linear Regressions
- Estimation and Inference of Linear Trend Slope Ratios With an Application to Global Temperature Data
This page was built for publication: Determining a Piecewise Linear Trend of a Nonstationary Time Series Based on Intelligent Data Analysis. I. Description and Substantiation of the Method