Time-series-based hybrid mathematical modelling method adapted to forecast automotive and medical waste generation : Case study of Lithuania

The aim of the study was to create a hybrid forecasting method that could produce higher accuracy forecasts than previously used 'pure' time series methods. Mentioned methods were already tested with total automotive waste, hazardous automotive waste, and total medical waste generation, bu...

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Bibliographische Detailangaben
Veröffentlicht in:Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 36(2018), 5 vom: 19. Mai, Seite 454-462
1. Verfasser: Karpušenkaitė, Aistė (VerfasserIn)
Weitere Verfasser: Ruzgas, Tomas, Denafas, Gintaras
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2018
Zugriff auf das übergeordnete Werk:Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Schlagworte:Journal Article Time series automotive waste forecasting hybrid model medical waste random start Hazardous Waste Medical Waste