Forecasting innovation status and trends with ARIMA analysis and Linear Trend Model in the European Union.
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| Title: | Forecasting innovation status and trends with ARIMA analysis and Linear Trend Model in the European Union. |
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| Authors: | Török, László1, dr.torok.laszlo@eng.unideb.hu |
| Source: | International Review of Applied Sciences & Engineering; 2026, Vol. 17 Issue 1, p1-12, 12p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 191629065 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1556/1848.2025.00988 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Forecasting innovation status and trends with ARIMA analysis and Linear Trend Model in the European Union. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Török, László IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20620810 Numbering: – Type: volume Value: 17 – Type: issue Value: 1 Titles: – TitleFull: International Review of Applied Sciences & Engineering Type: main |
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