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JOURNALS // Sibirskii Zhurnal Vychislitel'noi Matematiki // Archive

Sib. Zh. Vychisl. Mat., 2010 Volume 13, Number 2, Pages 227–241 (Mi sjvm279)

This article is cited in 5 papers

Construction and optimization of predictions on the basis of first degree recurrent splines

B. M. Shumilova, E. A. Esharovb, N. K. Arkabaevc

a Tomsk State University of Architecture and Building, Tomsk
b Tomsk State University, Tomsk
c Osh State University, Osh, Kyrgyzstan

Abstract: This paper addresses to the problem of the point and the interval predictions of the time series on basis of recurrent first degree splines with depth 1. The conditions of optimality for coefficients of the calculated scheme are found. The results of numerical experiments for analytically given functions with errors are presented. A comparison with classical methods of prediction of the time series is given.

Key words: spline, recurrence algorithm, optimization, prediction, time series.

UDC: 519.233.2/246.8+216.3

Received: 01.04.2009
Revised: 22.09.2009


 English version:
Numerical Analysis and Applications, 2010, 3:2, 186–198

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© Steklov Math. Inst. of RAS, 2024