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Fitting the Itô Stochastic Differential Equation To the Covid-19 Data in Turkey

dc.contributor.author Erdogan, Fevzi
dc.contributor.author Çalıkuşu, Sevda Özdemir
dc.date.accessioned 2025-05-10T17:53:44Z
dc.date.available 2025-05-10T17:53:44Z
dc.date.issued 2021
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp Van Yüzüncü Yil Üni̇versi̇tesi̇,Van Yüzüncü Yil Üni̇versi̇tesi̇ en_US
dc.description.abstract In this study, COVID-19 data in Turkey is investigated by Stochastic Differential Equation Modeling (SDEM). Firstly, parameters of SDE which occur in mentioned epidemic problem are estimated by using the maximum likelihood procedure. Then, we have obtained reasonable Stochastic Differential Equation (SDE) based on the given COVID-19 data. Moreover, by applying Euler-Maruyama Approximation Method trajectories of SDE are achieved. The performances of trajectories are established by Chi-Square criteria. The results are acquired by using statistical software R-Studio.These results are also corroborated by graphical representation. en_US
dc.identifier.doi 10.51354/mjen.929656
dc.identifier.endpage 197 en_US
dc.identifier.issn 1694-7398
dc.identifier.issue 2 en_US
dc.identifier.scopusquality N/A
dc.identifier.startpage 192 en_US
dc.identifier.trdizinid 488887
dc.identifier.uri https://doi.org/10.51354/mjen.929656
dc.identifier.uri https://search.trdizin.gov.tr/en/yayin/detay/488887/fitting-the-ito-stochastic-differential-equation-to-the-covid-19-data-in-turkey
dc.identifier.uri https://hdl.handle.net/20.500.14720/18864
dc.identifier.volume 9 en_US
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.relation.ispartof Manas Journal of Engineering en_US
dc.relation.publicationcategory Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Matematik en_US
dc.subject İstatistik Ve Olasılık en_US
dc.title Fitting the Itô Stochastic Differential Equation To the Covid-19 Data in Turkey en_US
dc.type Article en_US

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