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dc.contributor.authorÜnal, Baki
dc.contributor.authorAladağ, Çağdaş Hakan
dc.date.accessioned2022-12-20T06:32:18Z
dc.date.available2022-12-20T06:32:18Z
dc.date.issued2022en_US
dc.identifier.citationÜnal, B., Aladağ, Ç.H. (2022). Nonlinear and Chaotic Time Series Analysis. Modeling and Advanced Techniques in Modern Economics, pp. 67-104. https://doi.org/10.1142/9781800611757_0004en_US
dc.identifier.urihttps://doi.org/10.1142/9781800611757_0004
dc.identifier.urihttps://hdl.handle.net/20.500.12508/2436
dc.description.abstractThis study introduces the techniques used in the analysis of nonlinear and deterministic time series. Since chaotic time series are nonlinear and deterministic, the techniques introduced here can be successfully applied to the analysis of chaotic time series. Chaotic time series differ from stochastic time series. Therefore, the analysis of both types of time series shows differences. In this work, for analyzing nonlinear deterministic time series, we present how the phase space is reconstructed, how chaos is detected, how noise is cleaned from the data and how the deterministic time series are estimated.en_US
dc.language.isoengen_US
dc.publisherWorld Scientific Publishing Co.en_US
dc.relation.isversionof10.1142/9781800611757_0004en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleNonlinear and Chaotic Time Series Analysisen_US
dc.typebookParten_US
dc.relation.journalModeling and Advanced Techniques in Modern Economicsen_US
dc.contributor.departmentMühendislik ve Doğa Bilimleri Fakültesi -- Endüstri Mühendisliği Bölümüen_US
dc.identifier.startpage67en_US
dc.identifier.endpage104en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorÜnal, Baki
dc.relation.indexScopusen_US


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