Study of the chaotic behaviour of temperature time series processes

Bibliographic Details
Parent link:	Proceedings of SPIE.— .— Bellingham: SPIE
Other Authors:	Botygin I. A. Igor Aleksandrovich, Tartakovsky V. A., Sherstnev V. S. Vladislav Stanislavovich, Sherstneva A. I. Anna Igorevna, Shkulov N. P.
Summary:	Title screen The results of the nonlinearity analysis of the temperature time series with different sampling steps are presented. The values of statistical functions describing the amount of information contained in one time series relative to another are calculated. The graphs of the Lyapunov exponent plotted. The nonlinearity of the studied time series was checked using White's test and Terasvirt's test. In both tests, Fisher's criteria and chi-square's criteria reject the null hypothesis, i.e. confirm the nonlinearity nature of the time series under study Текстовый файл AM_Agreement
Language:	English
Published:	2021
Subjects:	nonlinearity Terasvirta test White test F-test Lyapunov maximum exponent электронный ресурс труды учёных ТПУ
Online Access:	https://doi.org/10.1117/12.2602969 Статья на русском языке
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=679992

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