New grey forecasting model with its application and computer code
| dc.contributor.author | Bilgil, Halis | |
| dc.date.accessioned | 2021-04-28T09:54:06Z | |
| dc.date.available | 2021-04-28T09:54:06Z | |
| dc.date.issued | 2021 | |
| dc.department | Sabire Yazıcı Fen Edebiyat Fakültesi | |
| dc.description.abstract | Grey theory is an approach that can be used to construct a model with limited samples to provide better forecasting advantage for short-term problems. In some cases, a grey forecasting model may yield unacceptable forecasting errors. In this work, a new exponential grey prediction model, which is called as EXGM (1,1), is proposed. By using this model, new cases, deaths and recovered cases of COVID-19 in Turkey is forecast. Numerical results show that EXGM (1,1) is a model that performs more accurately than the comparison models. | |
| dc.identifier.doi | 10.3934/math.2021091 | |
| dc.identifier.endpage | 1514 | en_US |
| dc.identifier.issue | 2 | en_US |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 1497 | en_US |
| dc.identifier.uri | https:/dx.doi.org/10.3934/math.2021091 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12451/7913 | |
| dc.identifier.volume | 6 | en_US |
| dc.identifier.wos | WOS:000624934700028 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | tr | |
| dc.publisher | American Institute of Mathematical Sciences | |
| dc.relation.ispartof | AIMS Mathematics | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Grey Systems | |
| dc.subject | COVID-19 Predictions | |
| dc.subject | Grey Forecasting Model | |
| dc.subject | Least Squares Method | |
| dc.title | New grey forecasting model with its application and computer code | |
| dc.type | Article |
