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Fractional unit-root tests allowing for a fractional frequency flexible Fourier form trend: predictability of Covid-19

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dc.contributor.author Omay, Tolga
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2022-04-29T12:58:04Z
dc.date.available 2022-04-29T12:58:04Z
dc.date.issued 2021-12
dc.identifier.citation Omay, Tolga; Baleanu, Dumitru (2021). "Fractional unit-root tests allowing for a fractional frequency flexible Fourier form trend: predictability of Covid-19", Advances in Difference Equations, Vol. 2021, No. 1. tr_TR
dc.identifier.issn 1687-1839
dc.identifier.uri http://hdl.handle.net/20.500.12416/5463
dc.description.abstract In this study we propose a fractional frequency flexible Fourier form fractionally integrated ADF unit-root test, which combines the fractional integration and nonlinear trend as a form of the Fourier function. We provide the asymptotics of the newly proposed test and investigate its small-sample properties. Moreover, we show the best estimators for both fractional frequency and fractional difference operator for our newly proposed test. Finally, an empirical study demonstrates that not considering the structural break and fractional integration simultaneously in the testing process may lead to misleading results about the stochastic behavior of the Covid-19 pandemic. © 2021, The Author(s). tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1186/s13662-021-03317-9 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Covid-19 Forecast tr_TR
dc.subject Stationarity tr_TR
dc.subject Stochastic Fractional Difference Equation tr_TR
dc.subject Structural Break tr_TR
dc.title Fractional unit-root tests allowing for a fractional frequency flexible Fourier form trend: predictability of Covid-19 tr_TR
dc.type article tr_TR
dc.relation.journal Advances in Difference Equations tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 2021 tr_TR
dc.identifier.issue 1 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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