Pyramidal method of extrapolation for short time series

Autor:	Anastasiia Sokh, Olena Radoveniuk, Mariana Turbal, Yuriy Turbal, Andriy Bomba
Rok vydání:	2019
Předmět:	Series (mathematics) Property (programming) Applied Mathematics MathematicsofComputing_NUMERICALANALYSIS Extrapolation Finite difference Convexity Theoretical Computer Science Computational Mathematics Computational Theory and Mathematics Range (statistics) Applied mathematics Row Mathematics
Zdroj:	International Journal of Computing Science and Mathematics. 10:525
ISSN:	1752-5063 1752-5055
DOI:	10.1504/ijcsm.2019.10025669
Popis:	The paper proposed a new method of short time series extrapolation, which can be used for predicting of economic, environmental and geophysical parameters. This method is based on the property of the rows of modified finite differences that the best cubic approximation is in the range of convexity. Numerical results show significant advantages of the proposed method in comparison with approaches to extrapolate, based on the use of polynomials, including Newton's extrapolation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678b0b001ca7f275a2eb3ce7b06af97c https://doi.org/10.1504/ijcsm.2019.10025669 Zobrazit plný text záznamu